Triple
T29705684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xintiandi station |
E751621
|
entity |
| Predicate | formerConnectsLine |
P134797
|
FINISHED |
| Object | Shanghai Metro Line 1 |
—
|
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: Shanghai Metro Line 1 | Statement: [Xintiandi station, formerConnectsLine, Shanghai Metro Line 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerConnectsLine Context triple: [Xintiandi station, formerConnectsLine, Shanghai Metro Line 1]
-
A.
connectedLine
Indicates that two entities are joined by a continuous line or linear connection.
-
B.
connectionLine
Indicates a direct link or path that connects two entities within a system or structure.
-
C.
formerLine
Indicates that an entity previously served as a particular transit or service line but no longer does so.
-
D.
hasFormerLineConnection
chosen
Indicates that there used to be a direct line-based connection (e.g., transport, communication, or utility line) between two entities, but that connection no longer exists.
-
E.
associatedLine
Indicates that one entity is linked or connected to a particular line (such as a line item, line of text, or line in a structure) with which it is contextually or functionally related.
- F. None of above.
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_69f0d62748848190b030d0a703629a7d |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fe96c2647c819082989f11e1ae3d35 |
completed | May 9, 2026, 2:06 a.m. |
| PD | Predicate disambiguation | batch_69fe928615448190af939e5a94be55bb |
completed | May 9, 2026, 1:48 a.m. |
Created at: April 28, 2026, 7:27 p.m.