Triple
T7574649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fipa language |
E179330
|
entity |
| Predicate | glottologName |
P6521
|
FINISHED |
| Object | Fipa |
E179329
|
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: Fipa | Statement: [Fipa language, glottologName, Fipa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fipa Context triple: [Fipa language, glottologName, Fipa]
-
A.
Fipa
chosen
Fipa is the name of a Bantu-speaking ethnic group primarily inhabiting the Rukwa Region of southwestern Tanzania.
-
B.
Firiplaka
Firiplaka is a scenic, volcanic-sand beach on the Greek island of Milos, known for its colorful cliffs and clear turquoise waters.
-
C.
Fajia
Fajia is the Chinese philosophical school of Legalism, which emphasizes strict laws, centralized authority, and pragmatic governance to maintain social order.
-
D.
Afilias
Afilias is a global domain name registry services provider known for managing numerous top-level domains and offering DNS infrastructure solutions.
-
E.
Formoza
Formoza is an elite Polish naval special operations unit renowned for maritime counter-terrorism, reconnaissance, and high-risk combat missions.
- 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_69c69f316e50819081a271c85c06f918 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f948e1e08190ad807292365a0c27 |
completed | March 27, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c861673ae48190b86e8023fd02771c |
completed | March 28, 2026, 11:16 p.m. |
Created at: March 27, 2026, 3:51 p.m.