Triple
T7458271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BT Tower |
E176179
|
entity |
| Predicate | restaurantOpeningDate |
P2467
|
FINISHED |
| Object | 1966 |
—
|
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: 1966 | Statement: [BT Tower, restaurantOpeningDate, 1966]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: restaurantOpeningDate Context triple: [BT Tower, restaurantOpeningDate, 1966]
-
A.
officialOpeningDate
Indicates the calendar date on which something is formally inaugurated or officially opened for use or operation.
-
B.
officialOpeningYear
chosen
Indicates the calendar year in which something was formally opened or inaugurated for official use.
-
C.
openingTime
Indicates the time at which a place, service, or event begins operating or becomes accessible.
-
D.
expansionOpeningDate
Indicates the date on which an expansion of something (such as a facility, service, or project) was officially opened or became operational.
-
E.
reopeningDate
Indicates the date on which something that was previously closed is opened again for use or access.
- 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_69c69f21632481908bf83f6c6da897e3 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3b1f18881908140a6191d5478b5 |
completed | March 27, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69c6f039f7248190bb4183f97b605763 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:35 p.m.