Triple
T3663126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coolamon Shire |
E77696
|
entity |
| Predicate | governs |
P760
|
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, governs, Marrar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marrar Context triple: [Coolamon Shire, governs, 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.
Maran
Maran is an honorific title most famously associated with Rabbi Yosef Karo, the preeminent 16th-century halachic authority and author of the Shulchan Aruch.
-
C.
Morar
Morar is a small coastal village in the Lochaber area of the Scottish Highlands, known for its scenic beaches and proximity to the Road to the Isles.
-
D.
Marga
Marga is a feminine given name, commonly used as a short or diminutive form of names like Margarita or Margareta.
-
E.
Märsta
Märsta is a town in Stockholm County, Sweden, known as a residential and transport hub near Stockholm Arlanda Airport.
- 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_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3fcd910819082012b10b23860aa |
completed | March 8, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c39796648190a83a7f1a63c653bd |
completed | March 14, 2026, 2:10 a.m. |
Created at: March 8, 2026, 3:25 p.m.