Triple
T5850679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinkham Notch |
E130020
|
entity |
| Predicate | hasInformationCenterFor |
P67494
|
FINISHED |
| Object | White Mountain National Forest visitors |
—
|
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: White Mountain National Forest visitors | Statement: [Pinkham Notch, hasInformationCenterFor, White Mountain National Forest visitors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInformationCenterFor Context triple: [Pinkham Notch, hasInformationCenterFor, White Mountain National Forest visitors]
-
A.
hasResearchCentersIn
Indicates that an entity maintains or operates research centers located within a specified place or region.
-
B.
isITHubOf
Indicates that an entity serves as a central location or primary center for IT-related activities, services, or operations for another entity or area.
-
C.
hasRAndDCenterIn
Indicates that an entity maintains a research and development (R&D) center located in a specified place.
-
D.
centralLocation
Indicates that one entity serves as the primary or central place associated with another entity.
-
E.
isIndustrialCenter
Indicates that a place functions as a major hub of industrial activity, production, or manufacturing within a region.
- 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_69c0084de39081909eb34e6bed74215a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ab0a048190b84be40fb13c0f50 |
completed | March 22, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c03345ca0c819081c81148d054fed2 |
completed | March 22, 2026, 6:21 p.m. |
| PDg | Predicate description generation | batch_69c044a9c4f0819081b8c196932883f6 |
completed | March 22, 2026, 7:36 p.m. |
Created at: March 22, 2026, 3:55 p.m.