Triple
T6099203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isnag language |
E135951
|
entity |
| Predicate | ethnicGroup |
P194
|
FINISHED |
| Object | Isnag |
E336297
|
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: Isnag | Statement: [Isnag language, ethnicGroup, Isnag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isnag Context triple: [Isnag language, ethnicGroup, Isnag]
-
A.
Isnag
chosen
Isnag is an Austronesian language spoken by the Isnag people in the northern Cordillera region of Luzon in the Philippines.
-
B.
Murino
Murino is a rapidly growing suburban town on the outskirts of Saint Petersburg in northwestern Russia.
-
C.
Shipki La
Shipki La is a high-altitude mountain pass on the India–China (Tibet) border in the Himalayas, serving as an important trade and transit route between the two countries.
-
D.
Samnaun
Samnaun is a Swiss alpine village and duty-free ski resort in the Engadin valley, known for its extensive cross-border ski area shared with the Austrian resort of Ischgl.
-
E.
Meiringen
Meiringen is a Swiss alpine town in the Bernese Oberland, known for its dramatic mountain scenery, Reichenbach Falls, and association with Sherlock Holmes.
- 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05a9a02888190ac201acd14c3fc31 |
completed | March 22, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c125475548819086b733a80056eba5 |
completed | March 23, 2026, 11:34 a.m. |
Created at: March 22, 2026, 4:13 p.m.