Triple
T25418184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gregg County, Texas |
E636903
|
entity |
| Predicate | hasRegionalSignificanceIn |
P12510
|
FINISHED |
| Object | energy industry |
—
|
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: energy industry | Statement: [Gregg County, Texas, hasRegionalSignificanceIn, energy industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegionalSignificanceIn Context triple: [Gregg County, Texas, hasRegionalSignificanceIn, energy industry]
-
A.
hasRegionalSignificance
chosen
Indicates that something holds particular importance, influence, or relevance within a specific geographic region.
-
B.
hasTerritorialSignificance
Indicates that something holds importance, influence, or relevance specifically in relation to a particular geographic area or territory.
-
C.
notableInRegion
Indicates that an entity is recognized as notable, prominent, or significant within a specified geographic region.
-
D.
isRegionalLandmark
Indicates that a place or structure is widely recognized as a notable or iconic landmark within a specific geographic region.
-
E.
hasCulturalSignificanceFor
Indicates that something holds particular cultural meaning, value, or importance for a specified group or community.
- 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_69e75db4135881909acc287ebcb7a505 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: April 21, 2026, 1:55 p.m.