Triple
T5213006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipality of Turbo |
E117677
|
entity |
| Predicate | regionCode |
P208
|
FINISHED |
| Object |
CO-ANT
CO-ANT is the administrative region code for the Antioquia Department in Colombia, used to identify municipalities such as Turbo within that jurisdiction.
|
E503568
|
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-ANT | Statement: [Municipality of Turbo, regionCode, CO-ANT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CO-ANT Context triple: [Municipality of Turbo, regionCode, CO-ANT]
-
A.
CO-TOL
CO-TOL is the ISO 3166-2 code that uniquely identifies Colombia’s Tolima Department in international and administrative contexts.
-
B.
Co3
Co3 is one of the three sporadic Conway simple groups, notable as a finite simple group related to the symmetries of the Leech lattice.
-
C.
ACO
ACO is the commonly used abbreviation for Allied Command Operations, one of NATO’s two strategic military commands responsible for planning and executing alliance operations.
-
D.
COA
COA is the acronym for the Commission on Audit, the independent constitutional body in the Philippines responsible for auditing government funds and properties.
-
E.
COA
COA is the ICAO airline designator formerly used by Continental Airlines, a major U.S. carrier that merged with United Airlines.
- 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-ANT Triple: [Municipality of Turbo, regionCode, CO-ANT]
Generated description
CO-ANT is the administrative region code for the Antioquia Department in Colombia, used to identify municipalities such as Turbo within that jurisdiction.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CO-ANT Target entity description: CO-ANT is the administrative region code for the Antioquia Department in Colombia, used to identify municipalities such as Turbo within that jurisdiction.
-
A.
CO-TOL
CO-TOL is the ISO 3166-2 code that uniquely identifies Colombia’s Tolima Department in international and administrative contexts.
-
B.
Co3
Co3 is one of the three sporadic Conway simple groups, notable as a finite simple group related to the symmetries of the Leech lattice.
-
C.
ACO
ACO is the commonly used abbreviation for Allied Command Operations, one of NATO’s two strategic military commands responsible for planning and executing alliance operations.
-
D.
COA
COA is the acronym for the Commission on Audit, the independent constitutional body in the Philippines responsible for auditing government funds and properties.
-
E.
COA
COA is the ICAO airline designator formerly used by Continental Airlines, a major U.S. carrier that merged with United Airlines.
- 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_69bd4464ba3c8190bc16b2ebbe42ddb0 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a730e6c8190ae6082da41ee592a |
completed | March 20, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beefdee940819098e397ab50f57411 |
completed | March 21, 2026, 7:22 p.m. |
| NEDg | Description generation | batch_69bef0b1fe9c8190bfc1be621c7c1c76 |
completed | March 21, 2026, 7:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef16739148190b9700228be7d07f9 |
completed | March 21, 2026, 7:28 p.m. |
Created at: March 20, 2026, 1:47 p.m.