Triple
T8112780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Almeidas Province |
E189395
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Tibirita |
E673597
|
NE FINISHED |
How this triple was built (2 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: Tibirita | Statement: [Almeidas Province, containsMunicipality, Tibirita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tibirita Context triple: [Almeidas Province, containsMunicipality, Tibirita]
-
A.
Tibirita
chosen
Tibirita is a small municipality in the Cundinamarca Department of central Colombia, located in the Andean highlands.
-
B.
Tura
Tura is a prominent town in the Indian state of Meghalaya, serving as a major administrative, cultural, and economic center in the Garo Hills region.
-
C.
Tura
Tura is a district in southern Cairo, Egypt, historically known for its limestone quarries used in ancient Egyptian monuments.
-
D.
Teneguía
Teneguía is a volcanic cone on the island of La Palma in Spain’s Canary Islands, known for its dramatic 1971 eruption.
-
E.
Elubo
Elubo is a border town in southwestern Ghana that serves as a key transit point for trade and travel between Ghana and Côte d'Ivoire.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb432d7dfc8190b9c980f32c7b4623 |
completed | March 31, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc9433a5848190aac09a2589061b53 |
completed | April 1, 2026, 3:42 a.m. |
Created at: March 30, 2026, 5:32 p.m.