Triple
T15006079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coolamon Shire Council |
E377714
|
entity |
| Predicate | governingBodyOf |
P479
|
FINISHED |
| Object | Marrar |
E377853
|
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: Marrar | Statement: [Coolamon Shire Council, governingBodyOf, Marrar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marrar Context triple: [Coolamon Shire Council, governingBodyOf, Marrar]
-
A.
Marrar
chosen
Marrar is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural community and country lifestyle.
-
B.
Mararit
Mararit is an ethnic group native to parts of Sudan and Chad, known for speaking the Mararit language within the Nilo-Saharan family.
-
C.
Madda
Madda is a short form or nickname derived from the given name Maddalena.
-
D.
Marcali
Marcali is a small town in southwestern Hungary known for its agricultural surroundings and role as a local administrative and service center in Somogy County.
-
E.
Maran
Maran is a town and district in the Malaysian state of Pahang, known as an administrative and commercial center along the interior of the peninsula.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7322b5c81909089cbbf816e1436 |
completed | April 15, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe96a35acc8190a85f2ce32800ce1b |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:54 a.m.