Triple
T18989838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DNA Tower |
E464651
|
entity |
| Predicate | isOpenDuring |
P84418
|
FINISHED |
| Object | daytime hours |
—
|
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: daytime hours | Statement: [DNA Tower, isOpenDuring, daytime hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOpenDuring Context triple: [DNA Tower, isOpenDuring, daytime hours]
-
A.
isOpenTo
Indicates that one entity is receptive, willing, or available to consider, accept, or engage with another entity or proposal.
-
B.
openedDuring
Indicates that an entity began operating, became accessible, or was inaugurated within a specified time period or event.
-
C.
openingTime
Indicates the time at which a place, service, or event begins operating or becomes accessible.
-
D.
openedBetween
Indicates that an entity was opened during a time interval that falls between two specified temporal bounds.
-
E.
openToPublicDuring
chosen
Indicates that something is accessible or available for use by the general public during a specified time period or schedule.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6632cb08190a28f6ab74c2156d8 |
completed | April 20, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f88e0c81908cb20f08bf24cd32 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:01 p.m.