Triple
T30674701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fifty-State Initiative |
E780879
|
entity |
| Predicate | locationOfCampHammond |
P63873
|
FINISHED |
| Object | Stamford, Connecticut |
—
|
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: Stamford, Connecticut | Statement: [Fifty-State Initiative, locationOfCampHammond, Stamford, Connecticut]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfCampHammond Context triple: [Fifty-State Initiative, locationOfCampHammond, Stamford, Connecticut]
-
A.
campLocation
chosen
Indicates the place or area where a camp is set up or located.
-
B.
hadCamp
Indicates that an entity conducted, hosted, or participated in a camp event or camping activity.
-
C.
lakeCampusLocatedIn
Indicates that a campus situated by or associated with a lake is geographically located within a specified larger area or region.
-
D.
hasCampground
Indicates that one entity provides, contains, or is associated with a campground facility or area for another entity.
-
E.
parkLocatedIn
Indicates that a park is situated within or belongs to a specific geographic or administrative area.
- 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_69f224a7fc208190a07d6d3879b31640 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a00d76d0e0881908d83a8dcce511167 |
completed | May 10, 2026, 7:07 p.m. |
| PD | Predicate disambiguation | batch_6a00d711805881909a94cfd1f25fb331 |
completed | May 10, 2026, 7:05 p.m. |
Created at: April 29, 2026, 8:32 p.m.