Triple
T17523050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wudaokou station |
E426723
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Haidian 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: Haidian District | Statement: [Wudaokou station, serves, Haidian District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haidian District Context triple: [Wudaokou station, serves, Haidian District]
-
A.
Haidian District
chosen
Haidian District is a major urban district in northwest Beijing known for its universities, technology hubs, and historic imperial gardens.
-
B.
Haidian Subdistrict
Haidian Subdistrict is the central urban area and seat of local government within Beijing’s Haidian District, known for its dense commercial and residential development.
-
C.
Changping District
Changping District is a suburban district in the northern part of Beijing, China, known for its historical sites and scenic mountainous landscapes.
-
D.
Heping District
Heping District is a central urban district of Tianjin, China, known for its commercial centers, historic architecture, and role as a core administrative and cultural area of the city.
-
E.
Daxing District
Daxing District is a rapidly developing suburban district in southern Beijing, China, known for hosting the major Beijing Daxing International Airport and large-scale urban expansion.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d40ee08190b79d8e3d7f1b1272 |
completed | April 19, 2026, 3:58 a.m. |
Created at: April 10, 2026, 5:49 a.m.