Triple
T9096240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girardville, Pennsylvania |
E218027
|
entity |
| Predicate | hasTransportationHistoryWith |
P31374
|
FINISHED |
| Object | local railroads |
—
|
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: local railroads | Statement: [Girardville, Pennsylvania, hasTransportationHistoryWith, local railroads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTransportationHistoryWith Context triple: [Girardville, Pennsylvania, hasTransportationHistoryWith, local railroads]
-
A.
hasTransportHistoryAs
Indicates that an entity has a record or log of being transported, characterized or classified in a specific way.
-
B.
hasTransportHistory
chosen
Indicates that there exists a record or sequence of past transportation-related events or movements associated with an entity.
-
C.
hasTransportHistorySignificance
Indicates that something holds notable importance or relevance within the historical development or evolution of transportation systems or practices.
-
D.
hasHistoryOf
Indicates that an entity has a documented prior occurrence or background of a specified condition, event, or state.
-
E.
hasTramHistory
Indicates that there exists a historical association or record of tram-related activity or infrastructure involving the subject.
- 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_69ca83d9844081908e561e367fda6d45 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc96b650648190a8f59cee402d12aa |
completed | April 1, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69cc65fc7f408190a5846e29ab3b97e5 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:15 p.m.