Triple
T22402913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhanqiao Pier |
E553804
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Shinan District |
—
|
NE NERFINISHED |
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: Shinan District | Statement: [Zhanqiao Pier, locatedIn, Shinan District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shinan District Context triple: [Zhanqiao Pier, locatedIn, Shinan District]
-
A.
Shinan District
chosen
Shinan District is a central coastal district of Qingdao, China, known for its historic European-style architecture, scenic seaside areas, and role as the city’s political and cultural hub.
-
B.
Kaifu District
Kaifu District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
C.
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.
-
D.
Shenkeng District
Shenkeng District is a suburban district of New Taipei City in northern Taiwan, best known for its historic old street and specialty stinky tofu cuisine.
-
E.
Shinanomachi district
Shinanomachi district is a neighborhood in Shinjuku, Tokyo, known for its central location, proximity to major rail lines, and mix of residential, medical, and institutional facilities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158b565c48190b0f6c19f17995b40 |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 16, 2026, 8:46 p.m.