Triple
T6338290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Callao Region |
E142552
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | La Perla |
E565920
|
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 Perla | Statement: [Callao Region, contains, La Perla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Perla Context triple: [Callao Region, contains, La Perla]
-
A.
La Perla
La Perla is a small municipality in the Mexican state of Veracruz that forms part of the Orizaba metropolitan area.
-
B.
La Perla
chosen
La Perla is a coastal urban district within the Lima metropolitan area of Peru, known for its dense residential neighborhoods and proximity to the Pacific Ocean.
-
C.
Perla
Perla is a Mexican telenovela best known for starring actress Silvia Navarro in one of her early prominent roles.
-
D.
Pearl of Pearls
Pearl of Pearls is an honorific epithet for Ahmad Shah Durrani, the 18th-century founder of the Durrani Empire and a key architect of the modern Afghan state.
-
E.
City of Pearls
City of Pearls is a popular nickname for Hyderabad, India, highlighting its historic role as a global center for pearl and diamond trade.
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0654e11988190b708426d3003716a |
completed | March 22, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c604307b388190bbc59f5f57cb4bbe |
completed | March 27, 2026, 4:14 a.m. |
Created at: March 22, 2026, 4:30 p.m.