Triple
T5279610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aytapec |
E119460
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Aytapec |
E119460
|
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: Aytapec | Statement: [Aytapec, title, Aytapec]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aytapec Context triple: [Aytapec, title, Aytapec]
-
A.
Aytapec
chosen
Aytapec is a musical track featured on the album "Inca Taqui."
-
B.
Atalaya
Atalaya is a small Peruvian river port town in the Amazon rainforest, serving as a regional hub for transport and trade.
-
C.
Tafoya
Tafoya is the surname of Michele Tafoya, a prominent American sportscaster best known for her work as an NFL sideline reporter.
-
D.
Palatak
Palatak is a notable literary work by Bengali writer and playwright Jyotirindranath Tagore.
-
E.
Pitalito
Pitalito is a major town and coffee-producing hub in southern Colombia, known as one of the country’s most important centers for high-quality coffee.
- 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_69bd446d05a8819092ad333a3f9c8d5c |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd84c409248190a0154a660f58e096 |
completed | March 20, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06dd56a08190a7cfef614e5990f4 |
completed | March 21, 2026, 9 p.m. |
Created at: March 20, 2026, 1:52 p.m.