Triple
T7455379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arauca Department |
E172108
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Tame
Tame is a municipality in Colombia’s Arauca Department, known for its agricultural economy and historical role in the country’s independence era.
|
E665723
|
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: Tame | Statement: [Arauca Department, hasMunicipality, Tame]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tame Context triple: [Arauca Department, hasMunicipality, Tame]
-
A.
TAM
TAM is the standard abbreviation used for the Tampa Tarpons, a Minor League Baseball team based in Tampa, Florida.
-
B.
Meek
Meek is a surname of Scottish origin borne by various notable individuals across fields such as acting, music, and politics.
-
C.
Tarkatandava
Tarkatandava is a seminal philosophical treatise by the Dvaita Vedanta scholar Vyasatirtha, known for its rigorous logical analysis and defense of dualistic theology.
-
D.
Tem
Tem is an ancient Egyptian creator god, often regarded as a form or aspect of Atum associated with the setting sun and the completion of creation.
-
E.
TaM
TaM is the public transport network and brand serving the Montpellier metropolitan area in southern France.
- 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: Tame Triple: [Arauca Department, hasMunicipality, Tame]
Generated description
Tame is a municipality in Colombia’s Arauca Department, known for its agricultural economy and historical role in the country’s independence era.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tame Target entity description: Tame is a municipality in Colombia’s Arauca Department, known for its agricultural economy and historical role in the country’s independence era.
-
A.
TAM
TAM is the standard abbreviation used for the Tampa Tarpons, a Minor League Baseball team based in Tampa, Florida.
-
B.
Meek
Meek is a surname of Scottish origin borne by various notable individuals across fields such as acting, music, and politics.
-
C.
Tarkatandava
Tarkatandava is a seminal philosophical treatise by the Dvaita Vedanta scholar Vyasatirtha, known for its rigorous logical analysis and defense of dualistic theology.
-
D.
Tem
Tem is an ancient Egyptian creator god, often regarded as a form or aspect of Atum associated with the setting sun and the completion of creation.
-
E.
TaM
TaM is the public transport network and brand serving the Montpellier metropolitan area in southern France.
- 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_69c68a66554c8190add75c65942c0317 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f3af58dc819093fb0482482779a3 |
completed | March 27, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827c39a848190bc275468362ce3bc |
completed | March 28, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69c828e1487081908de825d60ea38c9e |
completed | March 28, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c829d8a15c8190911e0d7bda39c280 |
completed | March 28, 2026, 7:19 p.m. |
Created at: March 27, 2026, 3:15 p.m.