Triple
T28989889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanghai Railway Station (Shanghai Metro) |
E734794
|
entity |
| Predicate | line4Opening |
P41933
|
FINISHED |
| Object | 2005-12-31 |
—
|
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: 2005-12-31 | Statement: [Shanghai Railway Station (Shanghai Metro), line4Opening, 2005-12-31]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: line4Opening Context triple: [Shanghai Railway Station (Shanghai Metro), line4Opening, 2005-12-31]
-
A.
line4OpeningContext
Indicates the contextual information or setting associated with the opening of the fourth line in a sequence or text.
-
B.
line4SectionOpening
Indicates that a specific section of the fourth line is beginning or being opened.
-
C.
line4OpeningDate
chosen
Indicates the date on which the fourth line (e.g., of a transit system or network) was officially opened or began operation.
-
D.
line3OpeningSegment
Indicates that something is the initial or opening segment of a third line in a sequence or structure.
-
E.
line9OpeningSection
Indicates that something occurs in or pertains to the opening section of line 9.
- 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.