Triple
T7534118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuelu District |
E178103
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Kaifu District |
E226978
|
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: Kaifu District | Statement: [Yuelu District, borders, Kaifu District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaifu District Context triple: [Yuelu District, borders, Kaifu District]
-
A.
Kaifu District
chosen
Kaifu District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
B.
Hana District
Hana District is a rural administrative region on the eastern side of Maui, Hawaii, known for its remote coastal landscapes, lush rainforests, and the scenic Road to Hana.
-
C.
Kanda district
Kanda district is a historic commercial and cultural area in central Tokyo known for its old bookstores, electronics shops, and traditional shrines.
-
D.
Shimen District
Shimen District is a rural coastal district in northern Taiwan known for its scenic shoreline, historic sites, and role as part of New Taipei City.
-
E.
Kudanshita district
Kudanshita district is a central Tokyo neighborhood known for its proximity to the Imperial Palace area, educational institutions, and cultural sites such as Yasukuni Shrine and the Nippon Budokan.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f84a9d28819084ebfc44fcb2c29c |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8f30833588190a7217fdf160f2d49 |
completed | March 29, 2026, 9:38 a.m. |
Created at: March 27, 2026, 3:47 p.m.