Triple
T641803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Community of Madrid |
E16754
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Alcorcón
Alcorcón is a suburban city in central Spain that forms part of the metropolitan area of Madrid.
|
E95939
|
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: Alcorcón | Statement: [Community of Madrid, contains, Alcorcón]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alcorcón Context triple: [Community of Madrid, contains, Alcorcón]
-
A.
Móstoles
Móstoles is a major suburban city in central Spain, known as one of the most populous municipalities in the Madrid metropolitan area.
-
B.
Leganés
Leganés is a major suburban city in central Spain, located just southwest of Madrid and known for its residential character, industry, and football club CD Leganés.
-
C.
Fuenlabrada
Fuenlabrada is a large suburban city in central Spain, located southwest of Madrid and known for its rapid growth, industrial activity, and sizable commuter population.
-
D.
Getafe
Getafe is a city in central Spain that forms part of the Madrid metropolitan area and is known for its industrial base, university campus, and air force history.
-
E.
Valladolid
Valladolid is a historic city in northwestern Spain that served as a major political and cultural center, including as a former capital of the Spanish monarchy.
- 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: Alcorcón Triple: [Community of Madrid, contains, Alcorcón]
Generated description
Alcorcón is a suburban city in central Spain that forms part of the metropolitan area of Madrid.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alcorcón Target entity description: Alcorcón is a suburban city in central Spain that forms part of the metropolitan area of Madrid.
-
A.
Móstoles
Móstoles is a major suburban city in central Spain, known as one of the most populous municipalities in the Madrid metropolitan area.
-
B.
Leganés
Leganés is a major suburban city in central Spain, located just southwest of Madrid and known for its residential character, industry, and football club CD Leganés.
-
C.
Fuenlabrada
Fuenlabrada is a large suburban city in central Spain, located southwest of Madrid and known for its rapid growth, industrial activity, and sizable commuter population.
-
D.
Getafe
Getafe is a city in central Spain that forms part of the Madrid metropolitan area and is known for its industrial base, university campus, and air force history.
-
E.
Valladolid
Valladolid is a historic city in northwestern Spain that served as a major political and cultural center, including as a former capital of the Spanish monarchy.
- 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_69a76d69ade481909322f5f28f0050e4 |
completed | March 3, 2026, 11:23 p.m. |
| NEDg | Description generation | batch_69a78257f9988190a04b8d764d820194 |
completed | March 4, 2026, 12:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a78337cd4c8190bce8a0716a6e85e4 |
completed | March 4, 2026, 12:56 a.m. |
Created at: March 1, 2026, 7:36 p.m.