Triple
T4735759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fields Corner station |
E105121
|
entity |
| Predicate | hasReconstructionPurpose |
P58478
|
FINISHED |
| Object | modernization |
—
|
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: modernization | Statement: [Fields Corner station, hasReconstructionPurpose, modernization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReconstructionPurpose Context triple: [Fields Corner station, hasReconstructionPurpose, modernization]
-
A.
hasReconstructionStandard
Indicates that something is associated with or governed by a specific standard or guideline for how it should be reconstructed.
-
B.
hasReconstructionLevel
Indicates the degree or stage to which something has been rebuilt, restored, or reconstructed.
-
C.
hasReconstructionWork
Indicates that an entity is undergoing, has undergone, or is associated with reconstruction or restoration work.
-
D.
haveReconstructionWork
Indicates that an entity is undergoing or is associated with reconstruction or restoration work.
-
E.
reconstructionFor
Indicates that one entity serves as a reconstruction, restoration, or rebuilt version of another entity.
- 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_69bd43ee52048190b81a4f066534ffb3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd648148b48190ae30631115339ba1 |
completed | March 20, 2026, 3:15 p.m. |
| PD | Predicate disambiguation | batch_69bd6221c3b881908604f35f8de6f16b |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd637e19e081909e415544106c7835 |
completed | March 20, 2026, 3:10 p.m. |
Created at: March 20, 2026, 1:19 p.m.