Triple
T12111765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abeokuta wars |
E288447
|
entity |
| Predicate | involvedEthnicGroup |
P12220
|
FINISHED |
| Object | Fon |
E171113
|
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: Fon | Statement: [Abeokuta wars, involvedEthnicGroup, Fon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fon Context triple: [Abeokuta wars, involvedEthnicGroup, Fon]
-
A.
Fon
chosen
Fon is a major Gbe language of West Africa, primarily spoken by the Fon people in Benin and neighboring countries.
-
B.
Funka
Funka is a small village in northern Poland known for its scenic lakeside setting and recreational access to Lake Charzykowskie.
-
C.
Fung
Fung is a common Cantonese romanization of the Chinese surname typically spelled "Feng" in Mandarin pinyin.
-
D.
FUNO
FUNO is the stock ticker symbol for Fibra Uno, one of Mexico’s largest real estate investment trusts (REITs) focused on commercial properties.
-
E.
Fou
Fou is a small, mysterious, animal-like familiar in the Fate/Grand Order series, known for its cute appearance, limited speech, and hidden connection to powerful magical origins.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9156709288190b4684cb19037dc38 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f67d58d08190be45fb49f0084b49 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.