Triple
T29835873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wyndham growth corridor |
E757655
|
entity |
| Predicate | includesLocalArea |
P141690
|
FINISHED |
| Object | Werribee |
—
|
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: Werribee | Statement: [Wyndham growth corridor, includesLocalArea, Werribee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesLocalArea Context triple: [Wyndham growth corridor, includesLocalArea, Werribee]
-
A.
nearbyAreaServed
Indicates that a location or entity provides services or coverage to an adjacent or nearby area.
-
B.
coversLocality
chosen
Indicates that one entity spatially includes or encompasses the area or extent of a specified locality.
-
C.
includesAreaOf
Indicates that one entity encompasses or contains the spatial extent or area covered by another entity.
-
D.
servesRemoteArea
Indicates that an entity provides services or support to people or locations in geographically remote or hard-to-reach areas.
-
E.
localityOf
Indicates that one entity is the specific place, area, or locality in which another entity is situated or occurs.
- 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_69f224593f6c81908785a560fe659f58 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a0008225cc081909ff1fd0639859dc4 |
completed | May 10, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_6a0007bac5d8819098aff8031d4abe5d |
completed | May 10, 2026, 4:21 a.m. |
Created at: April 29, 2026, 5:36 p.m.