Triple
T16751633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beti–Pahuin languages |
E407094
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object | Fang-Okak |
E92466
|
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-Okak | Statement: [Beti–Pahuin languages, hasLanguage, Fang-Okak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fang-Okak Context triple: [Beti–Pahuin languages, hasLanguage, Fang-Okak]
-
A.
Fangta
Fangta is a historic multi-story brick pagoda located in Shanghai’s Songjiang District, renowned as a prominent cultural and architectural landmark.
-
B.
Okak
chosen
Okak is a dialectal variety of the Fang language spoken by Fang communities in Central Africa.
-
C.
Ohoka
Ohoka is a small rural township in New Zealand’s Canterbury region, known for its lifestyle properties and proximity to Christchurch.
-
D.
Fagu
Fagu is a small, scenic hill station near Shimla in Himachal Pradesh, India, known for its apple orchards, terraced fields, and panoramic Himalayan views.
-
E.
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.
- 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_6a00aaf588bc8190adcc512eaa8d91e8 |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 5:21 a.m.