Triple
T14437529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taitō ward |
E358002
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Iriya |
E1012674
|
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: Iriya | Statement: [Taitō ward, contains, Iriya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iriya Context triple: [Taitō ward, contains, Iriya]
-
A.
Iriya
chosen
Iriya is a neighborhood in Taitō ward, Tokyo, known as a traditional shitamachi area with local temples, festivals, and historic shopping streets.
-
B.
Iribe
Iribe is the surname of Brendan Iribe, the American entrepreneur best known as a co-founder and former CEO of virtual reality company Oculus VR.
-
C.
Izu
Izu is a coastal hot spring resort town on Japan’s Izu Peninsula, known for its scenic beaches, onsen, and natural beauty.
-
D.
Irai
Irai is a small commune in northern France, located within the Eure department in the Normandy region.
-
E.
Iwara
Iwara is a town in southwestern Nigeria associated with the Ijesha people and their cultural and historical heritage.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914a45ec81909ab8ccf302047d7f |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff13322c548190bac21db2bfa56ee9 |
completed | May 9, 2026, 10:57 a.m. |
Created at: April 10, 2026, 1:18 a.m.