Triple
T30358639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Changshou Road station |
E772211
|
entity |
| Predicate | line7OpeningDate |
P169106
|
FINISHED |
| Object | 2009 |
—
|
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: 2009 | Statement: [Changshou Road station, line7OpeningDate, 2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: line7OpeningDate Context triple: [Changshou Road station, line7OpeningDate, 2009]
-
A.
line5OpeningDate
Indicates the date on which line 5 was first opened or began operation.
-
B.
line8OpeningDate
Indicates the date on which line 8 was first opened or began operation.
-
C.
line9OpeningDate
Indicates the date on which line 9 (e.g., a route, service, or infrastructure segment) was officially opened or began operation.
-
D.
line4OpeningDate
Indicates the date on which the fourth line (e.g., of a transit system or network) was officially opened or began operation.
-
E.
line2OpeningDate
Indicates the date on which the second line (e.g., a route, service, or facility line) was officially opened or began operation.
- 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_69f2248c6f5c8190a6177842bf791a3c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f682417ec08190982dd9acf7219742 |
completed | May 2, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f679496c188190ba585792f987a1f4 |
completed | May 2, 2026, 10:23 p.m. |
Created at: April 29, 2026, 7:57 p.m.