Triple
T11510270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galiyat |
E272890
|
entity |
| Predicate | hasResortTown |
P847
|
FINISHED |
| Object | Nathia Gali |
E300989
|
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: Nathia Gali | Statement: [Galiyat, hasResortTown, Nathia Gali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nathia Gali Context triple: [Galiyat, hasResortTown, Nathia Gali]
-
A.
Nathia Gali
chosen
Nathia Gali is a scenic hill station in Pakistan’s Galyat region, known for its cool climate, lush forests, and panoramic mountain views.
-
B.
Mia Ausa
Mia Ausa is a young, kind-hearted magician and the daughter of the Magic Guild's leader in the role-playing game Lunar: The Silver Star.
-
C.
Dorla Gondi
Dorla Gondi is a regional dialect of the Gondi language spoken by the Dorla subgroup of the Gondi people in central India.
-
D.
Nuzha
Nuzha is a residential district in Kuwait City known for its quiet neighborhoods and local amenities.
-
E.
Ellora Torchia
Ellora Torchia is a British actress known for her roles in films such as "Midsommar" and various acclaimed television and stage productions.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d86db65eb081908613a1002c6a4fb4 |
completed | April 10, 2026, 3:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e625055dfc81909a87418a3ed40027 |
completed | April 20, 2026, 1:07 p.m. |
Created at: April 8, 2026, 9:36 p.m.