Triple
T12011969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oyá |
E285923
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Oya |
E56231
|
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: Oya | Statement: [Oyá, alsoKnownAs, Oya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oya Context triple: [Oyá, alsoKnownAs, Oya]
-
A.
Oya
chosen
Oya is a powerful Yoruba orisha associated with storms, winds, transformation, and the Niger River.
-
B.
Yamate
Yamate is a historic hillside district in Yokohama known for its Western-style residences, foreign settlers’ heritage, and scenic views over the city and harbor.
-
C.
Hannō
Hannō is a suburban city in Saitama Prefecture, Japan, known as a residential and commuter town within the Greater Tokyo area.
-
D.
Maimiti
Maimiti was a Tahitian woman known as the wife of Bounty mutineer Fletcher Christian and one of the Polynesian settlers who accompanied the mutineers to Pitcairn Island.
-
E.
Moruya
Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903d7777481908cd5a001f75e2ee3 |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48b363c6481908c8414c1eecc14f5 |
completed | May 1, 2026, 11:15 a.m. |
Created at: April 8, 2026, 9:46 p.m.