Triple
T37262078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Springs |
E924281
|
entity |
| Predicate | hasGrainSilos |
P162837
|
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: [Three Springs, hasGrainSilos, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGrainSilos Context triple: [Three Springs, hasGrainSilos, true]
-
A.
numberOfSilos
Indicates the quantitative relationship specifying how many silos are associated with a given entity.
-
B.
granaryType
Indicates the specific kind or category of granary associated with or used by an entity.
-
C.
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.
-
D.
hasAgriculturalFacility
chosen
Indicates that an entity possesses, contains, or is associated with an agricultural facility used for farming, cultivation, or related agricultural operations.
-
E.
isGrainReceivalPoint
Indicates that a location serves as a designated site where grain is delivered, received, or collected.
- 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_69f76eabd6c481909d414a80a1345c98 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:15 p.m.