Triple
T6479200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R44 subway cars |
E146145
|
entity |
| Predicate | refurbishmentScope |
P8964
|
FINISHED |
| Object | interior modernization and mechanical overhaul |
—
|
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: interior modernization and mechanical overhaul | Statement: [R44 subway cars, refurbishmentScope, interior modernization and mechanical overhaul]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refurbishmentScope Context triple: [R44 subway cars, refurbishmentScope, interior modernization and mechanical overhaul]
-
A.
renovationPurpose
Indicates that an entity is being renovated with a specific intended goal, use, or outcome in mind.
-
B.
requiresRenovation
Indicates that an entity is in a condition that necessitates repair, updating, or refurbishment before it is suitable for normal use or standards.
-
C.
renovationResult
Indicates the outcome or state produced by a renovation process, linking the renovation activity to its resulting condition or product.
-
D.
renovationFeature
chosen
Indicates that an entity has a specific renovation-related characteristic, element, or improvement associated with it.
-
E.
capacityAfterRenovation
Indicates the number of occupants or units a place can hold once renovation work has been completed.
- 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_69c008fec7408190af7b146dc63d9750 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a4e764c819086828bb841f588e0 |
completed | March 22, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69c0673f6d48819080e10c85155c7195 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:51 p.m.