Triple
T16751625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beti–Pahuin languages |
E407094
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object | Fang |
E56340
|
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: Fang | Statement: [Beti–Pahuin languages, hasLanguage, Fang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fang Context triple: [Beti–Pahuin languages, hasLanguage, Fang]
-
A.
Fang
chosen
Fang is a Bantu language widely spoken by the Fang people of Central Africa, particularly in Equatorial Guinea, Gabon, and Cameroon.
-
B.
Fang
Fang is a mysterious, dark-winged member of the avian-human hybrid "flock" and Max's closest ally and love interest in James Patterson's Maximum Ride series.
-
C.
Fang
Fang is Rubeus Hagrid’s large, cowardly boarhound (often called a dog) from the Harry Potter series.
-
D.
Fang
Fang is the mascot of the Saint John Sea Dogs, a major junior ice hockey team in the Quebec Maritimes Junior Hockey League.
-
E.
Fang
Fang is a Chinese surname historically borne by various notable figures, including members of imperial and scholarly families.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa271de48190b4a535408aeef734 |
completed | April 18, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a52402848190b029cb0be31b4c74 |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:21 a.m.