Triple
T32968809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pennsylvania Railroad Schuylkill Branch |
E843450
|
entity |
| Predicate | partlyReusedBy |
P95595
|
FINISHED |
| Object | SEPTA Regional Rail |
—
|
NE NERFINISHED |
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: SEPTA Regional Rail | Statement: [Pennsylvania Railroad Schuylkill Branch, partlyReusedBy, SEPTA Regional Rail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partlyReusedBy Context triple: [Pennsylvania Railroad Schuylkill Branch, partlyReusedBy, SEPTA Regional Rail]
-
A.
partiallyReusedAs
chosen
Indicates that one entity is used again as part of another entity, but only to a limited or incomplete extent rather than in its entirety.
-
B.
partiallyReusable
Indicates that an entity can be reused to some extent but not fully or indefinitely, implying limited or partial reusability.
-
C.
partlyReclaimedAs
Indicates that one entity has been partially converted, restored, or taken back into the state, use, or condition represented by the other entity.
-
D.
reusedIn
Indicates that something previously used in one context or instance is used again in another context or instance.
-
E.
partlyRebuilt
Indicates that an entity has been reconstructed or restored to some extent, but not fully.
- 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_69f3494b9fc48190bb61c955ba471275 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d1a5e6a881908df6ec45496a8d1d |
completed | May 3, 2026, 4:40 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:21 a.m.