Triple
T6528119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guineans |
E151357
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Loma |
E302229
|
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: Loma | Statement: [Guineans, language, Loma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loma Context triple: [Guineans, language, Loma]
-
A.
Loma
chosen
Loma is a Mande language spoken primarily in Liberia and Guinea, known for its rich oral tradition and complex tonal system.
-
B.
Moreno
Moreno is a municipality in the state of Pernambuco, Brazil, situated in the metropolitan region near the city of Jaboatão dos Guararapes.
-
C.
Moreno
Moreno is a common Spanish surname borne by numerous notable individuals across politics, sports, arts, and business in the Spanish-speaking world and beyond.
-
D.
Alta Loma
Alta Loma is a former unincorporated community in San Bernardino County, California, now a neighborhood within the city of Rancho Cucamonga.
-
E.
Palo Cedro
Palo Cedro is a small unincorporated community in Northern California known for its rural character and proximity to the city of Redding.
- 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ada9c8408190b1bc327985366be9 |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d52ca9988190addfdae6d7b53a6e |
completed | March 27, 2026, 7:06 p.m. |
Created at: March 27, 2026, 1:46 p.m.