Triple
T28989887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanghai Railway Station (Shanghai Metro) |
E734794
|
entity |
| Predicate | line1Opening |
P156228
|
FINISHED |
| Object | 1995-04-10 |
—
|
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: 1995-04-10 | Statement: [Shanghai Railway Station (Shanghai Metro), line1Opening, 1995-04-10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: line1Opening Context triple: [Shanghai Railway Station (Shanghai Metro), line1Opening, 1995-04-10]
-
A.
openingLine
Indicates that one entity is the first line or initial statement that begins another entity, such as a text, speech, or conversation.
-
B.
line3OpeningSegment
Indicates that something is the initial or opening segment of a third line in a sequence or structure.
-
C.
openingDateLineC
Indicates the calendar date on which entity C is opened, initiated, or begins operation.
-
D.
line9OpeningSection
Indicates that something occurs in or pertains to the opening section of line 9.
-
E.
openingDateLineB
chosen
Indicates the date on which line B is officially opened or begins operation.
- 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_69f05b0dd9b481908b7901e1c95ff6b2 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65f7c7f1c8190939cba348755b508 |
completed | May 2, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 9:16 a.m.