Triple
T16710299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chapinero |
E406089
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | La Cabrera |
E869804
|
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: La Cabrera | Statement: [Chapinero, hasPart, La Cabrera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Cabrera Context triple: [Chapinero, hasPart, La Cabrera]
-
A.
La Cabrera
chosen
La Cabrera is a locality in Spain’s Province of León, known for its rural character and setting within the mountainous landscapes of northwestern Castile and León.
-
B.
San Policarpo
San Policarpo is a coastal municipality in the province of Eastern Samar in the Philippines, known for its fishing communities and exposure to Pacific typhoons.
-
C.
Gabriel Cabrera
Gabriel Cabrera is a person notable enough to be recognized as a namesake of the surname Cabrera.
-
D.
Oliba Cabreta
Oliba Cabreta was a 10th-century Catalan count who played a key role in consolidating and expanding the power of the counties of Cerdanya and Besalú in the eastern Pyrenees.
-
E.
Wilder Guisao
Wilder Guisao is a Colombian professional footballer known for playing as a winger for clubs in South America and abroad.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3865186b48190bb45a761f5cf1a83 |
completed | April 18, 2026, 1:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091a739308190b4d645e096d1710b |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:20 a.m.