Triple
T12160960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lasbela District |
E289703
|
entity |
| Predicate | locatedSouthOf |
P9676
|
FINISHED |
| Object | Uthal |
E969707
|
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: Uthal | Statement: [Lasbela District, locatedSouthOf, Uthal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uthal Context triple: [Lasbela District, locatedSouthOf, Uthal]
-
A.
Uthal
chosen
Uthal is a town in Pakistan’s Balochistan province that serves as an administrative and commercial center for the surrounding Lasbela region.
-
B.
Ulthar
Ulthar is a mysterious, cat-revering town in H.P. Lovecraft’s Dreamlands, best known from the tale where a law forbids the killing of cats.
-
C.
Baradine
Baradine is a small rural town in New South Wales, Australia, known as a gateway to the Pilliga Forest and for its agricultural and forestry activities.
-
D.
Mandark
Mandark is the villainous boy genius and rival scientist to Dexter in the animated television series "Dexter's Laboratory."
-
E.
Mor'du
Mor'du is the monstrous, cursed bear and primary antagonist in Disney-Pixar's animated film "Brave."
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915c395e48190a16e97fd29787a51 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a84236c8190baa383c950d2bd62 |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:50 p.m.