Triple
T16023063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parkes Shire Council |
E388650
|
entity |
| Predicate | governsLocality |
P61282
|
FINISHED |
| Object | Trundle |
E378010
|
NE 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: Trundle | Statement: [Parkes Shire Council, governsLocality, Trundle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trundle Context triple: [Parkes Shire Council, governsLocality, Trundle]
-
A.
Trundle
chosen
Trundle is a small rural town in the Central West region of New South Wales, Australia, known for its long main street and historic country pub.
-
B.
Throsk
Throsk is a small village in central Scotland situated on the River Forth within the Stirling council area.
-
C.
Tengster
Tengster is an alternative name for Taktser, a village in the Amdo region of northeastern Tibet best known as the birthplace of the 14th Dalai Lama.
-
D.
Tarplin
Tarplin is the surname of Marv Tarplin, the influential American guitarist best known for his work with Smokey Robinson and the Miracles.
-
E.
Gurgi
Gurgi is a timid yet loyal, creature-like companion character from Disney’s animated fantasy film "The Black Cauldron."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18324bf308190b80bb445c7911198 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf2f7c4c8190b1290ac28aad8cd0 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:55 a.m.