Triple
T26772361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ichihara |
E670013
|
entity |
| Predicate | hasRefineryFacilities |
P16607
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Ichihara, hasRefineryFacilities, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRefineryFacilities Context triple: [Ichihara, hasRefineryFacilities, true]
-
A.
hasRefinery
chosen
Indicates that one entity possesses, operates, or is associated with a refinery facility used for processing raw materials.
-
B.
hasProductionFacilitiesIn
Indicates that an entity operates or owns production facilities located within a specified geographic area or jurisdiction.
-
C.
hasIndustrialPlant
Indicates that an entity possesses, operates, or is associated with an industrial plant facility.
-
D.
refineryOpened
Indicates that a refinery facility has begun operations or was officially opened at a specific time or event.
-
E.
hasTankFarms
Indicates that one entity possesses, contains, or is associated with one or more tank farm facilities used for storing large quantities of liquids or gases.
- 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_69eeb31c925881909b597f6e40056d28 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69fdf5d05cc481909ec9e1b1f0784279 |
completed | May 8, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69fdf0cdd6948190838864ab3120dfa6 |
completed | May 8, 2026, 2:18 p.m. |
Created at: April 27, 2026, 4:03 a.m.