Triple
T608061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colombia |
E12035
|
entity |
| Predicate | ISO3166-1Alpha2 |
P189
|
FINISHED |
| Object |
CO
CO is the two-letter ISO 3166-1 alpha-2 country code assigned to Colombia for international identification and standardization purposes.
|
E75857
|
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: CO | Statement: [Colombia, ISO3166-1Alpha2, CO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CO Context triple: [Colombia, ISO3166-1Alpha2, CO]
-
A.
OC
OC is the post-nominal designation for Officer of the Order of Canada, one of the country’s highest civilian honors recognizing outstanding achievement and service.
-
B.
CU
CU is the two-letter ISO 3166-1 alpha-2 country code assigned to Cuba.
-
C.
SA
The SA (Sturmabteilung) was the Nazi Party’s paramilitary organization known for its role in Adolf Hitler’s rise to power through intimidation, street violence, and mass rallies in early 20th-century Germany.
-
D.
SA
SA is the two-letter ISO 3166-1 alpha-2 country code representing the Kingdom of Saudi Arabia.
-
E.
SA
SA is a key 3GPP technical specification group responsible for defining the overall system architecture and service capabilities of mobile telecommunications networks.
- 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: CO Triple: [Colombia, ISO3166-1Alpha2, CO]
Generated description
CO is the two-letter ISO 3166-1 alpha-2 country code assigned to Colombia for international identification and standardization purposes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CO Target entity description: CO is the two-letter ISO 3166-1 alpha-2 country code assigned to Colombia for international identification and standardization purposes.
-
A.
OC
OC is the post-nominal designation for Officer of the Order of Canada, one of the country’s highest civilian honors recognizing outstanding achievement and service.
-
B.
CU
CU is the two-letter ISO 3166-1 alpha-2 country code assigned to Cuba.
-
C.
SA
The SA (Sturmabteilung) was the Nazi Party’s paramilitary organization known for its role in Adolf Hitler’s rise to power through intimidation, street violence, and mass rallies in early 20th-century Germany.
-
D.
SA
SA is the two-letter ISO 3166-1 alpha-2 country code representing the Kingdom of Saudi Arabia.
-
E.
SA
SA is a key 3GPP technical specification group responsible for defining the overall system architecture and service capabilities of mobile telecommunications networks.
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49df34abc8190a578c8c2ab3d28e4 |
completed | March 1, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a52925321c8190a0d1df7a58096c4e |
completed | March 2, 2026, 6:07 a.m. |
| NEDg | Description generation | batch_69a529ffc0cc8190b42f4bde8860deeb |
completed | March 2, 2026, 6:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a52a4d52f08190b79b290372da94b3 |
completed | March 2, 2026, 6:12 a.m. |
Created at: March 1, 2026, 7:35 p.m.