Triple
T11115000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kotoko |
E262863
|
entity |
| Predicate | neighboringEthnicGroup |
P11274
|
FINISHED |
| Object | Masa |
E402506
|
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: Masa | Statement: [Kotoko, neighboringEthnicGroup, Masa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Masa Context triple: [Kotoko, neighboringEthnicGroup, Masa]
-
A.
Masa
chosen
Masa is a Central Chadic language spoken primarily in parts of Cameroon and Chad.
-
B.
Massi
Massi is a common Italian diminutive or nickname for the given name Massimiliano.
-
C.
Maseo
Maseo is the DJ and producer of the influential hip hop group De La Soul, known for his role in shaping their innovative, sample-rich sound.
-
D.
Mazani
Mazani is an alternative name for the Mazanderani language, an Iranian language spoken primarily along the southern coast of the Caspian Sea in northern Iran.
-
E.
Gamasa
Gamasa is a coastal city in Egypt’s Dakahlia Governorate, known for its Mediterranean shoreline and role as a regional urban center.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79aa7254c8190abce35696ad2be03 |
completed | April 9, 2026, 12:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d7da99881908d38ea66c37dfb92 |
completed | April 19, 2026, 1:18 a.m. |
Created at: April 8, 2026, 9:27 p.m.