Triple
T17258809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ro.37 Lince |
E418953
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Lince |
E965365
|
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: Lince | Statement: [Ro.37 Lince, hasNickname, Lince]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lince Context triple: [Ro.37 Lince, hasNickname, Lince]
-
A.
Lince
chosen
Lince is an urban district and neighborhood in central Lima, Peru, known for its residential areas, commercial activity, and proximity to the city’s historic and financial centers.
-
B.
Lince Dorado
Lince Dorado is a high-flying professional wrestler best known for his lucha libre style and appearances in WWE’s cruiserweight division.
-
C.
Volpe
Volpe is an Italian surname borne by various notable individuals in politics, sports, and the arts.
-
D.
Vilca
Vilca is a small Andean town in Peru known for its scenic highland landscapes, lagoons, and traditional rural culture within the Nor Yauyos-Cochas reserve.
-
E.
Loup
The Loup is a river in southeastern France that flows through the Alpes-Maritimes department, known for its scenic gorges and popular outdoor recreation areas.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e6ea7588190a94d222504a8cef5 |
completed | April 19, 2026, 1:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170ff6818819090077dc4a7b774ae |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:39 a.m.