Triple
T4127103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chōfu |
E92751
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Inagi |
E197984
|
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: Inagi | Statement: [Chōfu, borderedBy, Inagi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inagi Context triple: [Chōfu, borderedBy, Inagi]
-
A.
Inagi
chosen
Inagi is a suburban city in western Tokyo, Japan, known for its residential neighborhoods and proximity to the Tama River.
-
B.
Anogi
Anogi is a small traditional mountain village on the Greek island of Ithaca, known for its historic church, stone houses, and panoramic views.
-
C.
Asago
Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
-
D.
Machimura
Machimura is a Japanese surname most notably associated with Nobutaka Machimura, a prominent Liberal Democratic Party politician and former foreign minister of Japan.
-
E.
Aigai
Aigai was the ancient capital of the kingdom of Macedon, historically significant as the royal seat and burial place of its kings before the rise of Pella.
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af021b17a08190b520101f54ec1e33 |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a83f4a548190a1ba9720b1f35ec9 |
completed | March 14, 2026, 6:26 p.m. |
Created at: March 9, 2026, 3:42 p.m.