Triple
T33961891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glimmerglass |
E870736
|
entity |
| Predicate | influencedPlaceNames |
P98810
|
FINISHED |
| Object | Glimmerglass State Park |
—
|
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: Glimmerglass State Park | Statement: [Glimmerglass, influencedPlaceNames, Glimmerglass State Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedPlaceNames Context triple: [Glimmerglass, influencedPlaceNames, Glimmerglass State Park]
-
A.
influenceOnToponymy
chosen
Indicates that one entity has affected or shaped the naming, form, or development of place names associated with another entity.
-
B.
inspiredToponymCountry
Indicates that a country’s name was inspired by, derived from, or otherwise based on a particular toponym (place name).
-
C.
toponymReflects
Indicates that a place name embodies, mirrors, or expresses some characteristic, feature, or aspect of the place it denotes.
-
D.
legacyToponym
Indicates that one place name is an older or former name historically used to refer to the same geographic entity as another place name.
-
E.
hasPlaceNamesakeIn
Indicates that something is named after a particular place or location.
- 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_69f3499ce8e88190b66e1d49ad8c7037 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fcf1b3d9a08190850b388308656266 |
completed | May 7, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69fcf0226d8c8190b23dceafb1794995 |
completed | May 7, 2026, 8:03 p.m. |
Created at: May 1, 2026, 1:50 a.m.