Triple
T641830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Community of Madrid |
E16754
|
entity |
| Predicate | ISO3166-2Code |
P208
|
FINISHED |
| Object |
ES-MD
ES-MD is the ISO 3166-2 subdivision code that uniquely identifies Spain’s Community of Madrid.
|
E80245
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: ES-MD | Statement: [Community of Madrid, ISO3166-2Code, ES-MD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ES-MD Context triple: [Community of Madrid, ISO3166-2Code, ES-MD]
-
A.
EMD
EMD is the commonly used abbreviation for the Engineering Management Division, a professional group focused on the practice and advancement of engineering management.
-
B.
EAM
EAM was a major Greek resistance organization during World War II that fought against Axis occupation and played a key role in the country’s wartime and immediate postwar politics.
-
C.
EIDE
EIDE (Enhanced Integrated Drive Electronics) is an improved version of the IDE interface standard used to connect storage devices like hard drives and optical drives to a computer’s motherboard.
-
D.
MPS
MPS is a leading German research institute specializing in the study of the Sun and the solar system, operating under the Max Planck Society.
-
E.
ERM
ERM is the French-language abbreviation for Belgium’s Royal Military Academy, the country’s principal institution for training future officers of the armed forces.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ES-MD Triple: [Community of Madrid, ISO3166-2Code, ES-MD]
Generated description
ES-MD is the ISO 3166-2 subdivision code that uniquely identifies Spain’s Community of Madrid.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ES-MD Target entity description: ES-MD is the ISO 3166-2 subdivision code that uniquely identifies Spain’s Community of Madrid.
-
A.
EMD
EMD is the commonly used abbreviation for the Engineering Management Division, a professional group focused on the practice and advancement of engineering management.
-
B.
EAM
EAM was a major Greek resistance organization during World War II that fought against Axis occupation and played a key role in the country’s wartime and immediate postwar politics.
-
C.
EIDE
EIDE (Enhanced Integrated Drive Electronics) is an improved version of the IDE interface standard used to connect storage devices like hard drives and optical drives to a computer’s motherboard.
-
D.
MPS
MPS is a leading German research institute specializing in the study of the Sun and the solar system, operating under the Max Planck Society.
-
E.
ERM
ERM is the French-language abbreviation for Belgium’s Royal Military Academy, the country’s principal institution for training future officers of the armed forces.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49f02bc2c8190b8a92b2505768c19 |
completed | March 1, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5778faa788190ac246d6cd6b983f4 |
completed | March 2, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_69a57806b6148190a56a1ed535bb3a65 |
completed | March 2, 2026, 11:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5785996748190ae7761d190bbd35f |
completed | March 2, 2026, 11:45 a.m. |
Created at: March 1, 2026, 7:36 p.m.