Triple
T33279957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarpaulin Cove Light |
E852015
|
entity |
| Predicate | yearCurrentTowerBuilt |
P32863
|
FINISHED |
| Object | 1891 |
—
|
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: 1891 | Statement: [Tarpaulin Cove Light, yearCurrentTowerBuilt, 1891]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearCurrentTowerBuilt Context triple: [Tarpaulin Cove Light, yearCurrentTowerBuilt, 1891]
-
A.
currentTowerCompletedYear
chosen
Indicates the year in which the currently existing or latest version of the tower was completed.
-
B.
yearCurrentTowerFirstLit
Indicates the calendar year in which the current tower was first illuminated or put into operation.
-
C.
wasTallestBuildingFromYear
Indicates that a building held the status of being the tallest building starting from a specified year.
-
D.
towerDatingFrom
Indicates that a tower originates from, or was constructed in, a specified time period or date.
-
E.
towerCompleted
Indicates that the construction of a tower has been fully finished and reached its intended completed state.
- 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_69f349653da08190819876015a298fdb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:32 a.m.