Triple
T15932866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tena |
E386364
|
entity |
| Predicate | roadAccessFrom |
P22549
|
FINISHED |
| Object | Puyo |
E247429
|
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: Puyo | Statement: [Tena, roadAccessFrom, Puyo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Puyo Context triple: [Tena, roadAccessFrom, Puyo]
-
A.
Puyo
chosen
Puyo is a small city in eastern Ecuador that serves as a gateway to the Amazon rainforest and a regional center for eco-tourism and trade.
-
B.
Puyo Puyo
Puyo Puyo is a fast-paced puzzle video game series by Sega, known for its colorful blob characters and competitive chain-combo gameplay.
-
C.
Piku
Piku is a 2015 Indian comedy-drama film centered on the relationship between a headstrong daughter and her aging, hypochondriac father, featuring a notable performance by Amitabh Bachchan.
-
D.
Pu$$y
"Pu$$y" is a provocative 2012 hip hop single by Australian rapper Iggy Azalea that helped establish her early notoriety and online buzz.
-
E.
Pengo
Pengo is a Dravidian language spoken primarily by the Pengo people in parts of central India, especially in Odisha and neighboring regions.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156a6d9b88190b461d12d69b12ac0 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5b514108190965e77346d8b476e |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:53 a.m.