Triple
T17102375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tama area |
E415010
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Kunitachi |
E241192
|
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: Kunitachi | Statement: [Tama area, hasPart, Kunitachi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kunitachi Context triple: [Tama area, hasPart, Kunitachi]
-
A.
Kunitachi
chosen
Kunitachi is a suburban city in western Tokyo, Japan, known for its universities, tree-lined avenues, and residential character.
-
B.
Hidaka-hime
Hidaka-hime is the birth name of Empress Genshō, a Nara-period Japanese empress who ruled in the early 8th century.
-
C.
Asahi-hime
Asahi-hime was a Japanese noblewoman of the late Sengoku period, known for her politically significant marriage into the Tokugawa clan that helped secure alliances during Japan’s unification.
-
D.
Tsutako
Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
-
E.
Yodo-dono
Yodo-dono was a prominent Japanese noblewoman and political figure of the late Sengoku period, best known as Toyotomi Hideyoshi’s consort and the mother of his heir, Toyotomi Hideyori.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc239a088190a776fe0f4361ffc7 |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a031b10f34c81908bd52d2d581da69a |
completed | May 12, 2026, 12:20 p.m. |
Created at: April 10, 2026, 5:35 a.m.