Triple
T22707851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinedale Anticline gas field |
E561506
|
entity |
| Predicate | developmentIntensity |
P67910
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Pinedale Anticline gas field, developmentIntensity, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: developmentIntensity Context triple: [Pinedale Anticline gas field, developmentIntensity, high]
-
A.
developmentScale
chosen
Indicates the relative size, intensity, or extent to which something is developed or has progressed in its development.
-
B.
urbanizationLevel
Indicates the degree to which an area or population is characterized by urban development, infrastructure, and density of human settlement.
-
C.
developmentLevel
Indicates the degree or stage of progress, advancement, or maturity that something has reached in its growth or evolution.
-
D.
territorialDevelopment
Indicates the process or actions through which a geographic area is planned, organized, and transformed for social, economic, or infrastructural purposes.
-
E.
intensiveUse
Indicates a relationship where an entity is used in a concentrated, frequent, or high-intensity manner by another entity.
- 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178cff7588190a40c8cef0f3cd44a |
completed | April 29, 2026, 3:19 a.m. |
| PD | Predicate disambiguation | batch_69ee62bd657c81909f7b01245b080a5f |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:17 p.m.