Triple
T12489000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umuahia South |
E298512
|
entity |
| Predicate | hasAdministrativeHeadquarters |
P1474
|
FINISHED |
| Object |
Ubakala
Ubakala is a town in Abia State, southeastern Nigeria, serving as the administrative center of the Umuahia South Local Government Area.
|
E986301
|
NE FINISHED |
How this triple was built (4 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: Ubakala | Statement: [Umuahia South, hasAdministrativeHeadquarters, Ubakala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ubakala Context triple: [Umuahia South, hasAdministrativeHeadquarters, Ubakala]
-
A.
Urakhi
Urakhi is a dialect of the Dargin language spoken by a subset of the Dargin people in the North Caucasus region of Russia.
-
B.
Kalabahi
Kalabahi is the main town and administrative center on Alor Island in Indonesia’s East Nusa Tenggara province.
-
C.
Ukbara
Ukbara was a small medieval town in present-day Iraq, historically known as the birthplace or residence of several Islamic scholars such as Ibn Batta al-Ukbari.
-
D.
Ukaan
Ukaan is a little-documented Niger-Congo language spoken by a small community in southwestern Nigeria.
-
E.
Kakababu
Kakababu is a popular fictional adventurer and former archaeologist from Bengali literature, best known as the physically disabled yet fearless hero of Sunil Gangopadhyay’s children’s adventure series.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ubakala Triple: [Umuahia South, hasAdministrativeHeadquarters, Ubakala]
Generated description
Ubakala is a town in Abia State, southeastern Nigeria, serving as the administrative center of the Umuahia South Local Government Area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ubakala Target entity description: Ubakala is a town in Abia State, southeastern Nigeria, serving as the administrative center of the Umuahia South Local Government Area.
-
A.
Urakhi
Urakhi is a dialect of the Dargin language spoken by a subset of the Dargin people in the North Caucasus region of Russia.
-
B.
Kalabahi
Kalabahi is the main town and administrative center on Alor Island in Indonesia’s East Nusa Tenggara province.
-
C.
Ukbara
Ukbara was a small medieval town in present-day Iraq, historically known as the birthplace or residence of several Islamic scholars such as Ibn Batta al-Ukbari.
-
D.
Ukaan
Ukaan is a little-documented Niger-Congo language spoken by a small community in southwestern Nigeria.
-
E.
Kakababu
Kakababu is a popular fictional adventurer and former archaeologist from Bengali literature, best known as the physically disabled yet fearless hero of Sunil Gangopadhyay’s children’s adventure series.
- F. None of above. chosen
Provenance (5 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94de1db9481909ddf70eb81cdb714 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64ba7d8bc8190acc1f0d537a5bbbb |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64c7c5d04819094fcbee0a4b5cbb4 |
completed | May 2, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64d668e548190979b3da72fe21ae7 |
completed | May 2, 2026, 7:15 p.m. |
Created at: April 8, 2026, 9:56 p.m.