Triple
T5852037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hachiōji |
E130056
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Tama River (nearby) |
E373354
|
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: Tama River (nearby) | Statement: [Hachiōji, hasRiver, Tama River (nearby)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tama River (nearby) Context triple: [Hachiōji, hasRiver, Tama River (nearby)]
-
A.
Tama River
chosen
The Tama River is a major river in the Tokyo region of Japan that flows through western Tokyo and Kanagawa Prefecture before emptying into Tokyo Bay near Haneda Airport.
-
B.
Kuma River
The Kuma River is a significant river in southwestern Russia that flows through the North Caucasus region, including Stavropol Krai, before emptying into the Caspian Sea.
-
C.
Tullahan River
Tullahan River is a waterway in Metro Manila, Philippines, that flows through several urban communities before emptying into Manila Bay.
-
D.
Tua River
The Tua River is a river in northeastern Portugal that flows through a rugged, scenic valley before joining the Douro River.
-
E.
Tatau River
The Tatau River is a river in Sarawak, Malaysia, that flows through the Bintulu Division and drains into the South China Sea.
- 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_69c0084de39081909eb34e6bed74215a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0355038008190bf38980349b533e2 |
completed | March 22, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1b3c7d08190bada8ae35e7fa8eb |
completed | March 23, 2026, 2:13 a.m. |
Created at: March 22, 2026, 3:55 p.m.