Triple
T3207595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 5 (Beijing Subway) |
E67200
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Tiantongyuan North station |
E438887
|
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: Tiantongyuan North station | Statement: [Line 5 (Beijing Subway), hasStation, Tiantongyuan North station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiantongyuan North station Context triple: [Line 5 (Beijing Subway), hasStation, Tiantongyuan North station]
-
A.
Tiantongyuan North station
chosen
Tiantongyuan North station is a northern Beijing Subway station serving the Tiantongyuan residential area and acting as the northern endpoint of Line 5.
-
B.
Anheqiao North station
Anheqiao North station is a northern terminal station on the Beijing Subway serving as the end point of Line 4.
-
C.
Xinzhuang Station
Xinzhuang Station is a major Shanghai Metro interchange station in Minhang District, serving as a key southern transport hub in the city’s network.
-
D.
Beixinjing Station
Beixinjing Station is a Shanghai Metro station serving the Beixinjing area in the city's Changning District.
-
E.
Jianchuan Road Station
Jianchuan Road Station is a Shanghai Metro station serving the Minhang District area of Shanghai, China.
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaa58340881908347d772cfa0ac4c |
completed | March 8, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b636ee2ed88190b37c7f6027d7623b |
completed | March 15, 2026, 4:34 a.m. |
Created at: March 8, 2026, 3:07 p.m.