Triple
T22539901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alausa |
E557258
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Ikeja GRA |
—
|
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: Ikeja GRA | Statement: [Alausa, near, Ikeja GRA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ikeja GRA Context triple: [Alausa, near, Ikeja GRA]
-
A.
Ikeja
chosen
Ikeja is a major commercial and administrative hub in Nigeria, serving as the capital of Lagos State and hosting numerous businesses, government offices, and the Murtala Muhammed International Airport.
-
B.
Kita-ku
Kita-ku is one of the administrative wards of Kobe in Hyogo Prefecture, Japan, known for its relatively spacious, suburban, and mountainous residential areas.
-
C.
Osawa
Osawa is a Japanese surname and place name that serves as an alternative spelling of "Ozawa."
-
D.
Higashi-Ikebukuro
Higashi-Ikebukuro is a commercial and residential neighborhood in Tokyo known for its high-rise developments, including the Sunshine City complex, and its role as a major subcenter of the Ikebukuro area.
-
E.
Kōtō
Kōtō is a special ward in eastern Tokyo, Japan, known for its mix of residential neighborhoods, waterfront areas, and commercial districts.
- 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.