Triple
T37156056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homer City, Pennsylvania |
E920505
|
entity |
| Predicate | hasPrimaryEnergyFacilityNearby |
P120742
|
FINISHED |
| Object | Homer City Generating Station |
E2216088
|
NE 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: Homer City Generating Station | Statement: [Homer City, Pennsylvania, hasPrimaryEnergyFacilityNearby, Homer City Generating Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryEnergyFacilityNearby Context triple: [Homer City, Pennsylvania, hasPrimaryEnergyFacilityNearby, Homer City Generating Station]
-
A.
hasNearbyPowerPlants
chosen
Indicates that one entity is located close to one or more power plants.
-
B.
hasNuclearPowerPlantNearby
Indicates that an entity is located close to at least one nuclear power plant.
-
C.
hasNearbyGasPlant
Indicates that one entity is located close to a gas plant associated with or relevant to it.
-
D.
operatedFacilityNear
Indicates that an entity operated a facility located in close geographic proximity to another specified entity or place.
-
E.
nearbyIndustrialInstallation
Indicates that one entity is located close to an industrial facility or installation.
- F. None of above.
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_69f76e9f87c08190b4c8f7fafbd8345a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40360b7c388190885e2db6a514d1b2 |
completed | June 27, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:15 p.m.