Triple
T9902258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anderton Boat Lift |
E182312
|
entity |
| Predicate | closedForSafety |
P91073
|
FINISHED |
| Object | 1983 |
—
|
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: 1983 | Statement: [Anderton Boat Lift, closedForSafety, 1983]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closedForSafety Context triple: [Anderton Boat Lift, closedForSafety, 1983]
-
A.
closedFor
Indicates that an entity is not available or accessible for use, entry, or operation during a specified time, condition, or reason.
-
B.
closedDuring
Indicates that an entity is not open or available for use during a specified time period or under certain conditions.
-
C.
closedForPassengers
Indicates that a transportation facility or vehicle is not available for use by passengers.
-
D.
closedToPublic
Indicates that access to the referenced entity is restricted so that the general public is not allowed to enter or use it.
-
E.
closedAsPrison
Indicates that a facility or location was shut down specifically for use as a prison or place of incarceration.
- F. None of above. chosen
Provenance (4 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_69ca82876f8081909cf75df0f99bb13f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4e391888190a3f5e5a1bf1cf9ff |
completed | April 2, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69cd1d8c584081908b73de75eb18e438 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd3581a9688190a00cef4c3eebb0ae |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:40 p.m.