Triple
T35770167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merredin |
E1034137
|
entity |
| Predicate | hasGrainReceivalPoint |
P78734
|
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: [Merredin, hasGrainReceivalPoint, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGrainReceivalPoint Context triple: [Merredin, hasGrainReceivalPoint, true]
-
A.
hasGrainType
Indicates that an entity is characterized by or associated with a specific type of grain.
-
B.
hasGrainQuality
Indicates that an entity possesses a particular level or type of grain quality, characterizing the quality attributes of its grain.
-
C.
hasAgriculturalFacility
Indicates that an entity possesses, contains, or is associated with an agricultural facility used for farming, cultivation, or related agricultural operations.
-
D.
hasFreightFacility
chosen
Indicates that an entity is equipped with or connected to a facility used for handling, loading, unloading, or storing freight.
-
E.
hasCultivationSite
Indicates that an entity possesses or is associated with a specific location where cultivation or growing activities take place.
- 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_69f76e13edd081909101629aa829c4ad |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b2f3a104819098ddd8909eaf596c |
completed | May 3, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:06 p.m.