Triple
T18766883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cordillera Administrative Region |
E458914
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Isnag |
—
|
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: Isnag | Statement: [Cordillera Administrative Region, language, Isnag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isnag Context triple: [Cordillera Administrative Region, language, 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.
Girgit
Girgit is a popular Tulu-language comedy thriller film known for its humorous take on contemporary coastal Karnataka life.
-
C.
Jümme
Jümme is a small river in Lower Saxony, Germany, known for flowing through the Leer district and contributing to the region’s network of waterways and wetlands.
-
D.
Marmashen
Marmashen is a rural village in northwestern Armenia known for its proximity to the historic Marmashen Monastery complex.
-
E.
Murino
Murino is a rapidly growing suburban town on the outskirts of Saint Petersburg in northwestern Russia.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d84cfa881909a1d3f7a5ab82574 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 10, 2026, 11:52 a.m.