Triple
T6355922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrott Transportation Center |
E142989
|
entity |
| Predicate | hasRebuiltOrRenovated |
P61916
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Arrott Transportation Center, hasRebuiltOrRenovated, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRebuiltOrRenovated Context triple: [Arrott Transportation Center, hasRebuiltOrRenovated, yes]
-
A.
hasRenovation
Indicates that an entity has undergone, is undergoing, or is associated with a renovation process or renovation event.
-
B.
renovationCompleted
Indicates that a renovation process for an entity has been fully finished and is no longer in progress.
-
C.
renovatedAfter
Indicates that one entity was renovated at a later time than another entity.
-
D.
rebuiltOrExpanded
chosen
Indicates that one entity has been reconstructed, enlarged, or otherwise significantly developed from its previous form or state.
-
E.
renovatedFrom
Indicates that one entity has been updated, improved, or restored by modifying or reworking an earlier version represented by another entity.
- 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_69c008d7a9c4819098d647ec47776917 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067e22c00819089bc68efb85bc2c8 |
completed | March 22, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69c060ec091c8190912aac44e1b8b1c9 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:32 p.m.