Triple
T5474260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junee Shire |
E122910
|
entity |
| Predicate | hasLocality |
P7943
|
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: [Junee Shire, hasLocality, Marrar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marrar Context triple: [Junee Shire, hasLocality, 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.
Mamati
Mamati is a village in western Georgia notable as the birthplace of former Soviet and Georgian politician Eduard Shevardnadze.
-
D.
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.
-
E.
Matabaan
Matabaan is a town in central Somalia that serves as one of the urban centers within the federal member state of Hirshabelle.
- 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_69bd46459ff48190823377457bcf7128 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9232ded08190b4142e604319b2ba |
completed | March 20, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf489a8f9881908aec81e59ed1e3e4 |
completed | March 22, 2026, 1:40 a.m. |
Created at: March 20, 2026, 2:09 p.m.