Triple
T19842414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naltar Valley |
E476767
|
entity |
| Predicate | languageSpoken |
P151
|
FINISHED |
| Object | Shina |
—
|
NE NERFINISHED |
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: Shina | Statement: [Naltar Valley, languageSpoken, Shina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shina Context triple: [Naltar Valley, languageSpoken, Shina]
-
A.
Shina
chosen
Shina is an Indo-Aryan language spoken primarily in the Gilgit-Baltistan region of Pakistan and surrounding Himalayan areas.
-
B.
Chunia
Chunia is a little-known genus of flowering plants in the witch-hazel family, Hamamelidaceae.
-
C.
Henao
Henao is a Spanish-language surname most notably associated with Maria Victoria Henao, the widow of Colombian drug lord Pablo Escobar.
-
D.
Alpa Chino
Alpa Chino is a fictional rapper-turned-actor character in the satirical war film "Tropic Thunder," known for his commercialized hip-hop persona and humorous product endorsements.
-
E.
Malchina
Malchina is a small settlement or locality within the municipality of Sgonico in the Friuli Venezia Giulia region of northeastern Italy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65806375c8190a4f45f14aeb06515 |
completed | April 20, 2026, 4:44 p.m. |
Created at: April 10, 2026, 1:51 p.m.