Triple
T31478482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacific Cement and Aggregates |
E803062
|
entity |
| Predicate | plantProximityTo |
P61362
|
FINISHED |
| Object | Pacific Ocean |
—
|
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: Pacific Ocean | Statement: [Pacific Cement and Aggregates, plantProximityTo, Pacific Ocean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plantProximityTo Context triple: [Pacific Cement and Aggregates, plantProximityTo, Pacific Ocean]
-
A.
plantArea
Indicates the total surface area occupied or covered by a plant or group of plants.
-
B.
proximityToLandmark
Indicates a spatial relationship where one entity is located near or close to a specified landmark.
-
C.
nearbyTo
chosen
Indicates that one entity is located close in distance or position to another entity.
-
D.
hasNearbyLandUse
Indicates that one land area is located close to another area characterized by a specific type of land use.
-
E.
featuresRegionalProximity
Indicates that one entity is located near or in close geographic proximity to a particular region or 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_69f348c9477c8190bc0a21f6d482d2fc |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 30, 2026, 9:30 p.m.