Triple
T22539899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alausa |
E557258
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Oregun |
—
|
NE NERFINISHED |
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: Oregun | Statement: [Alausa, near, Oregun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oregun Context triple: [Alausa, near, Oregun]
-
A.
Oregun
chosen
Oregun is a commercial and residential district within Ikeja, the capital city of Lagos State, Nigeria.
-
B.
Begunaah
Begunaah is a 1991 Hindi-language Bollywood drama film featuring actress Farah Naaz in a prominent role.
-
C.
Joure
Joure is a town in the Dutch province of Friesland known for its historic role in the coffee and clock-making industries and its location amid canals and lakes.
-
D.
Kanasubigi
Kanasubigi is an ancient Bulgar royal title, often interpreted as a form of "ruler from God" or "sovereign by the grace of God," used by early Bulgarian khans such as Omurtag.
-
E.
Vijigishu
Vijigishu is the central conquering ruler in Kautilya’s Mandala theory of foreign policy, around whom the network of allies, enemies, and neutral states is defined.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f3196fc819098deffb0c7932ccc |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:51 p.m.