Triple
T12298207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abaji |
E293144
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object | Abaji (town) |
E293144
|
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: Abaji (town) | Statement: [Abaji, hasCapital, Abaji (town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abaji (town) Context triple: [Abaji, hasCapital, Abaji (town)]
-
A.
Jubbah town
Jubbah town is a historic settlement in northern Saudi Arabia known for its nearby ancient rock art and archaeological sites.
-
B.
Abaji
chosen
Abaji is a town and local government area located within Nigeria’s Federal Capital Territory, serving as one of its key administrative and residential centers.
-
C.
Badr town
Badr town is a small settlement in western Saudi Arabia historically associated with the site of the pivotal Battle of Badr in early Islamic history.
-
D.
Abasha Municipality
Abasha Municipality is a local administrative district in western Georgia that encompasses the town of Abasha and surrounding rural areas.
-
E.
Al-Ubeidiya
Al-Ubeidiya is a Palestinian town located in the central West Bank, east of Bethlehem.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93eda55148190b720e479163d36e7 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e7b88d08190a195a294a7fbd168 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.