Triple
T3263786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dongzhimen station |
E68474
|
entity |
| Predicate | lineRole_Line13 |
P46952
|
FINISHED |
| Object | interchange station |
—
|
LITERAL 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: interchange station | Statement: [Dongzhimen station, lineRole_Line13, interchange station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lineRole_Line13 Context triple: [Dongzhimen station, lineRole_Line13, interchange station]
-
A.
lineName
Indicates the specific name or designation assigned to a particular line (such as a route, path, or service) that distinguishes it from other lines.
-
B.
line13OpeningDate
Indicates the date on which line 13 was officially opened or began operation.
-
C.
lineServed
Indicates that a particular transportation line (such as a bus, train, or metro line) provides service to or is operated at a given stop, station, or route segment.
-
D.
lineStandard
Indicates that one entity is a standard or reference specification that defines or governs the characteristics or requirements of a particular line (such as a product line, production line, or service line).
-
E.
lineElement
Indicates a relationship where something functions as, or is identified as, an element or segment of a line within a larger linear structure or representation.
- F. None of above. chosen
Provenance (4 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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafaa35e48190b894ca41dd65932b |
completed | March 8, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69ada41d7eac8190ada4bf5f793d5c49 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada525bb2c8190b773efe6d696b6ab |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:09 p.m.