Triple
T3364877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiyoda |
E70810
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Kanda district |
E415529
|
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: Kanda district | Statement: [Chiyoda, contains, Kanda district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanda district Context triple: [Chiyoda, contains, Kanda district]
-
A.
Kanda district
chosen
Kanda district is a historic commercial and cultural area in central Tokyo known for its old bookstores, electronics shops, and traditional shrines.
-
B.
Tenma district
Tenma district is a bustling urban neighborhood in Osaka, Japan, known for its traditional shopping arcades, lively nightlife, and historic Tenmangu Shrine.
-
C.
Kaifu District
Kaifu District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
D.
Tsuzuki District
Tsuzuki District is a former administrative district that once existed within Kyoto Prefecture in Japan.
-
E.
Namba district
Namba district is a major entertainment and shopping area in Osaka, Japan, known for its neon lights, bustling nightlife, and iconic landmarks.
- 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_69ad85a729d48190afd789cd8417f289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb28643f48190b78b0222f8323344 |
completed | March 8, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bde0234b6481908dcf37da32cf856b |
completed | March 21, 2026, 12:02 a.m. |
Created at: March 8, 2026, 3:13 p.m.