Triple
T38626227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MBTA tokens |
E937016
|
entity |
| Predicate | physicalProperty |
P191469
|
FINISHED |
| Object | reusable |
—
|
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: reusable | Statement: [MBTA tokens, physicalProperty, reusable]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: physicalProperty Context triple: [MBTA tokens, physicalProperty, reusable]
-
A.
thermalProperty
Indicates a relationship where an entity is associated with a characteristic describing its behavior or response with respect to temperature or heat.
-
B.
physicalBasis
Indicates that one entity serves as the underlying physical foundation, mechanism, or substrate that gives rise to or supports the properties, behavior, or existence of another entity.
-
C.
mechanicalProperty
Indicates a relationship where a mechanical characteristic (such as strength, stiffness, hardness, or elasticity) is attributed to or associated with an entity.
-
D.
physicalChange
Indicates a transformation in an entity’s physical state, form, or properties resulting from some process or interaction.
-
E.
phaseOfMatter
Indicates the physical state (solid, liquid, gas, etc.) that a substance or material is in under given conditions.
- 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_69f76ed403208190b862dc795171353f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
| PDg | Predicate description generation | batch_69fcdfbafbf48190abe38ec0003a6419 |
completed | May 7, 2026, 6:53 p.m. |
Created at: May 3, 2026, 4:32 p.m.