Triple
T14014341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niiname-sai |
E337166
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Niinamesai |
E337166
|
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: Niinamesai | Statement: [Niiname-sai, alsoKnownAs, Niinamesai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niinamesai Context triple: [Niiname-sai, alsoKnownAs, Niinamesai]
-
A.
Ninmena
Ninmena is a Mesopotamian goddess associated with birth and creation, often regarded as a daughter or aspect of the mother goddess Ninhursag.
-
B.
Niiname-sai
chosen
Niiname-sai is a traditional Shinto harvest festival in Japan during which the emperor offers newly harvested rice to the deities and partakes of it in a solemn thanksgiving rite.
-
C.
Mehinako
Mehinako are an Indigenous people of the Upper Xingu region in Brazil, known for their distinct language, rich ritual traditions, and communal village life in the Amazon.
-
D.
Namin
Namin is a city in Iran known for its location in the mountainous, historically rich Ardabil region in the northwest of the country.
-
E.
Saiun
Saiun is the Allied reporting name for the Nakajima C6N, a fast and long-range Japanese carrier-based reconnaissance aircraft used during World War II.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f37d11481909159bdb9e1e8d38e |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc32b459c81908b652286f444e940 |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.