Triple
T493612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JST |
E10241
|
entity |
| Predicate | usedByCity |
P4810
|
FINISHED |
| Object | Saitama |
E48329
|
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: Saitama | Statement: [JST, usedByCity, Saitama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saitama Context triple: [JST, usedByCity, Saitama]
-
A.
Saitama Prefecture, Japan
chosen
Saitama Prefecture, Japan is a populous prefecture in the Kantō region just north of Tokyo, known for its role as a major residential and commercial hub as well as for hosting key national institutions.
-
B.
Minato
Minato is a central special ward of Tokyo known for its major business districts, foreign embassies, and landmarks such as Tokyo Tower and Roppongi.
-
C.
Ibaraki
Ibaraki is a city in northern Osaka Prefecture, Japan, known as a residential and industrial hub within the Kansai metropolitan area.
-
D.
Daikanyama
Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
-
E.
Suita
Suita is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub that hosted part of Expo '70 and is home to Osaka University’s main campus.
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f0fbfa408190aeb3b93996a35c00 |
completed | Feb. 28, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5370a97881908916b387ff6b02af |
completed | March 7, 2026, 4:33 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.