Triple
T8265958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Indo-Aryan languages |
E193301
|
entity |
| Predicate | includesLanguage |
P2177
|
FINISHED |
| Object | Shina |
E81878
|
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: Shina | Statement: [Northern Indo-Aryan languages, includesLanguage, Shina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shina Context triple: [Northern Indo-Aryan languages, includesLanguage, Shina]
-
A.
Shina
chosen
Shina is an Indo-Aryan language spoken primarily in the Gilgit-Baltistan region of Pakistan and surrounding Himalayan areas.
-
B.
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.
-
C.
Malchina
Malchina is a small settlement or locality within the municipality of Sgonico in the Friuli Venezia Giulia region of northeastern Italy.
-
D.
Hezhe
The Hezhe are a small Tungusic ethnic group in northeastern China, traditionally known for fishing and hunting along the Amur and Ussuri rivers and for their distinctive riverine culture.
-
E.
Chō
Chō is a Japanese surname borne by various notable individuals across fields such as the military, arts, and entertainment.
- 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_69ca82e081d48190986beaa51f498ab9 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb794c54448190a685b8d0070980d7 |
completed | March 31, 2026, 7:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd357b0ae081909fdaeab31624e6f1 |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 5:50 p.m.