Triple
T15497396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanyuanqiao station |
E378853
|
entity |
| Predicate | airportExpressOpeningDate |
P46954
|
FINISHED |
| Object | 2008-07-19 |
—
|
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: 2008-07-19 | Statement: [Sanyuanqiao station, airportExpressOpeningDate, 2008-07-19]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airportExpressOpeningDate Context triple: [Sanyuanqiao station, airportExpressOpeningDate, 2008-07-19]
-
A.
openingDate_AirportExpress
chosen
Indicates the date on which the Airport Express service officially began operating.
-
B.
airportOpened
Indicates that an airport began operations or was officially opened at a specific time.
-
C.
flightStartDate
Indicates the date on which a particular flight is scheduled to begin or depart.
-
D.
busServiceOpeningDate
Indicates the date on which a particular bus service first began operating.
-
E.
airlineCommencedOperations
Indicates that an airline began its official flight operations or commercial services on a specific date or at a specific time.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fb0aee081909db1c54349ec8492 |
completed | April 16, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69ded2874b788190999158e0f043be21 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:53 a.m.