Triple
T12724471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kankanaey |
E304067
|
entity |
| Predicate | primaryRegion |
P1103
|
FINISHED |
| Object | Abra |
E304062
|
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: Abra | Statement: [Kankanaey, primaryRegion, Abra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abra Context triple: [Kankanaey, primaryRegion, Abra]
-
A.
Abra
chosen
Abra is a landlocked province in the northern Philippines known for its mountainous terrain, indigenous cultures, and rich natural landscapes.
-
B.
Abra
Abra is a character in Antonio Vivaldi’s sacred oratorio "Juditha triumphans," serving as a companion and confidante to the heroine Juditha.
-
C.
Abra Stone
Abra Stone is a powerful young psychic (a "shiner") who plays a central role in Stephen King’s horror novel "Doctor Sleep," the sequel to "The Shining."
-
D.
Squirtle
Squirtle is a small, blue, turtle-like Water-type Pokémon known for withdrawing into its shell and attacking with powerful water-based moves.
-
E.
Mew
Mew is a Danish alternative rock band known for its atmospheric sound, complex song structures, and emotionally charged melodies.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d964148f988190a4d0e7b41614fa64 |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68eb1ca1081909b2e9e70f6a497dd |
completed | May 2, 2026, 11:54 p.m. |
Created at: April 9, 2026, 5:25 p.m.