Triple
T11510025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kohistani languages |
E272884
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Torwali |
E274181
|
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: Torwali | Statement: [Kohistani languages, hasMember, Torwali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torwali Context triple: [Kohistani languages, hasMember, Torwali]
-
A.
Torwali
chosen
Torwali is an Indo-Aryan language spoken primarily by the Torwali community in Pakistan’s Swat Valley, known for its distinct phonology and endangered status.
-
B.
Wotho
Wotho is a small inhabited island in the Marshall Islands that serves as the main settlement and administrative center of Wotho Atoll.
-
C.
Dargwa
Dargwa is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan, Russia.
-
D.
Wihro
Wihro is the official mascot character created for the 2022 Mediterranean Games.
-
E.
Welun
Welun is the German name for the Polish town of Wieluń, known for being one of the first places bombed at the start of World War II.
- 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.