Triple
T11468328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teapot Rock |
E271833
|
entity |
| Predicate | hasNearbyResourceType |
P72516
|
FINISHED |
| Object | petroleum |
—
|
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: petroleum | Statement: [Teapot Rock, hasNearbyResourceType, petroleum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyResourceType Context triple: [Teapot Rock, hasNearbyResourceType, petroleum]
-
A.
nearbyResourcePotential
chosen
Indicates that a resource is likely available or exploitable in the vicinity of the referenced entity or location.
-
B.
hasMaterialNearby
Indicates that one entity has a material located in its immediate vicinity or surrounding area.
-
C.
hasNearbyFunction
Indicates that one entity has another entity located close by that serves a related or supportive function.
-
D.
hasNearbyLandscapeType
Indicates that one entity is located close to, or in the vicinity of, a particular type of landscape.
-
E.
hasNearbyTownType
Indicates that one entity has, in its vicinity, a town of a specified type or classification.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d82949e3688190b024a4980666c94f |
completed | April 9, 2026, 10:33 p.m. |
| PD | Predicate disambiguation | batch_69d8086ecd6c81908f424864857762d6 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:35 p.m.