Triple
T14436881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Contoocook, New Hampshire |
E357985
|
entity |
| Predicate | hasHistoricTransportation |
P19012
|
FINISHED |
| Object | railroad line |
—
|
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: railroad line | Statement: [Contoocook, New Hampshire, hasHistoricTransportation, railroad line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricTransportation Context triple: [Contoocook, New Hampshire, hasHistoricTransportation, railroad line]
-
A.
transportationTypeHistoricallyImportant
Indicates that a mode of transportation has played a significant role or had notable impact in historical events, periods, or developments.
-
B.
hasTransportHistory
Indicates that there exists a record or sequence of past transportation-related events or movements associated with an entity.
-
C.
hasTramHistory
Indicates that there exists a historical association or record of tram-related activity or infrastructure involving the subject.
-
D.
hasTransportHistoryAs
Indicates that an entity has a record or log of being transported, characterized or classified in a specific way.
-
E.
hasRailroadHistoryWith
chosen
Indicates a historical relationship or connection between entities involving railroads, such as shared development, operation, or significant events in railway history.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9148cf4481909082cc91b2f76218 |
completed | April 14, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69de5c3a02fc819097373f97a260cdeb |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:18 a.m.