Triple
T6535340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yeongdodaegyo Bridge |
E152344
|
entity |
| Predicate | reopeningAfterRenovationDate |
P10067
|
FINISHED |
| Object | 2013-11-27 |
—
|
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: 2013-11-27 | Statement: [Yeongdodaegyo Bridge, reopeningAfterRenovationDate, 2013-11-27]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reopeningAfterRenovationDate Context triple: [Yeongdodaegyo Bridge, reopeningAfterRenovationDate, 2013-11-27]
-
A.
renovatedAfter
Indicates that one entity was renovated at a later time than another entity.
-
B.
reopeningDate
chosen
Indicates the date on which something that was previously closed is opened again for use or access.
-
C.
renovatedBy
Indicates that an entity has been improved, restored, or updated through renovation work performed by another entity.
-
D.
renovationYear
Indicates the year in which an entity underwent renovation or significant refurbishment.
-
E.
renovationPeriod
Indicates the time span during which an object, structure, or entity undergoes renovation or refurbishment.
- 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_69c688048ec8819093a47f7d332e12ec |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6adc05da88190b402085954cec8e0 |
completed | March 27, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69c68abd9c7c819099e4fe8097cd1b28 |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:46 p.m.