Triple
T13752192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bland Shire |
E330380
|
entity |
| Predicate | hasLocality |
P7943
|
FINISHED |
| Object | Barmedman |
E80766
|
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: Barmedman | Statement: [Bland Shire, hasLocality, Barmedman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barmedman Context triple: [Bland Shire, hasLocality, Barmedman]
-
A.
Barmedman
chosen
Barmedman is a small rural town in the Riverina region of New South Wales, Australia, known historically for its wheat farming and mineral springs.
-
B.
Barmal
Barmal is a town in southeastern Afghanistan known for its location in Paktika Province near the border with Pakistan.
-
C.
Balumain
Balumain is a central deity in the Kalash religion, revered as a winter god and cultural hero associated with the Chawmos festival in Pakistan’s Hindu Kush region.
-
D.
Balardgon
Balardgon is the nickname for the French Ministry of the Armed Forces’ large, modern military headquarters complex located in the Balard area of Paris.
-
E.
Boorga
Boorga is a small rural locality within the Hay Shire local government area in New South Wales, Australia.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0215cfa08190aaed8b089aff217b |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a8560614819085958205637f3863 |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:09 p.m.