Triple
T9416916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gachancipá |
E227047
|
entity |
| Predicate | sharesBorderWith |
P224
|
FINISHED |
| Object | Sesquilé |
E178748
|
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: Sesquilé | Statement: [Gachancipá, sharesBorderWith, Sesquilé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sesquilé Context triple: [Gachancipá, sharesBorderWith, Sesquilé]
-
A.
Sesquilé
chosen
Sesquilé is a municipality in the Cundinamarca Department of Colombia, located in the Andean highlands northeast of Bogotá and known for its proximity to Lake Tominé and the legendary Lake Guatavita region.
-
B.
Gravina
Gravina is an Italian surname historically associated with notable figures in politics, the military, and the arts.
-
C.
Sonoyta
Sonoyta is a small town in the Mexican state of Sonora, located near the U.S. border opposite Lukeville, Arizona, and serving as a gateway to the surrounding desert and protected natural areas.
-
D.
Moura
Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
-
E.
Moura
Moura is a small coal-mining town in Central Queensland, Australia, known for its agricultural activities and history of mining disasters.
- 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd68cb4be08190a47f901a9703f9db |
completed | April 1, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107bfd73481908e07d0ee2774bd59 |
completed | April 4, 2026, 12:44 p.m. |
Created at: March 30, 2026, 7:48 p.m.