Triple
T2732005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aso Rock |
E60334
|
entity |
| Predicate | hasNearbyDistrict |
P4647
|
FINISHED |
| Object | Asokoro |
E66826
|
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: Asokoro | Statement: [Aso Rock, hasNearbyDistrict, Asokoro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asokoro Context triple: [Aso Rock, hasNearbyDistrict, Asokoro]
-
A.
Asokoro
chosen
Asokoro is an upscale residential and administrative district in Abuja, Nigeria, known for hosting many government institutions, embassies, and high-profile residents.
-
B.
Miyakoan
Miyakoan is a Ryukyuan language spoken primarily on the Miyako Islands of Japan, distinct from standard Japanese and recognized as endangered.
-
C.
Asago
Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
-
D.
Amadioha
Amadioha is a major deity in Igbo traditional religion, revered as the god of thunder, lightning, justice, and moral order.
-
E.
Shimaore
Shimaore is a Bantu language closely related to Comorian, widely spoken by the local population of Mayotte in the Indian Ocean.
- 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_69ab4b75cd908190b691ef0d1801acda |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdaf011548190beb9c3feee7b743f |
completed | March 7, 2026, 7:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb69eeedc81908ad654de9e1259ea |
completed | March 10, 2026, 6:13 a.m. |
Created at: March 6, 2026, 9:56 p.m.