Triple
T26772379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ichihara |
E670013
|
entity |
| Predicate | hasTankFarms |
P163460
|
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, hasTankFarms, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTankFarms Context triple: [Ichihara, hasTankFarms, true]
-
A.
hasTank
Indicates that an entity possesses, is equipped with, or contains a tank (such as a storage tank, fuel tank, or similar vessel).
-
B.
hasAgriculturalFacility
Indicates that an entity possesses, contains, or is associated with an agricultural facility used for farming, cultivation, or related agricultural operations.
-
C.
hasFarm
Indicates that one entity owns, operates, or is responsible for a farm associated with another entity.
-
D.
hasNotableFarm
Indicates that an entity possesses or is associated with a farm that is considered notable or significant in some recognized way.
-
E.
hasCentralTank
Indicates that an entity possesses or is equipped with a primary central tank as a key component or feature.
- F. None of above. chosen
Provenance (4 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_69f638d11c988190af7fd4572b08e038 |
completed | May 2, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69f63709e4848190b5cf322e06b23fb6 |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f638344b148190bf0414ef7c5f1f38 |
completed | May 2, 2026, 5:45 p.m. |
Created at: April 27, 2026, 4:03 a.m.