Triple
T12990523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abia State |
E321889
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
Abia
Abia is a state in southeastern Nigeria known for its commercial hub Aba and its role in regional trade and industry.
|
E1015796
|
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: Abia | Statement: [Abia State, shortName, Abia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abia Context triple: [Abia State, shortName, Abia]
-
A.
Leioa
Leioa is a suburban municipality in the Basque Country in northern Spain, located near Bilbao in the province of Biscay.
-
B.
Irrua
Irrua is a prominent town in southern Nigeria known for hosting the Irrua Specialist Teaching Hospital and serving as an important local commercial and administrative center in Edo State.
-
C.
Biscay
Biscay is a coastal province in northern Spain, known for its capital Bilbao and its role as a historic and cultural center of the Basque Country.
-
D.
Beasain
Beasain is a town in the Basque province of Gipuzkoa in northern Spain, known for its strong industrial base and railway manufacturing heritage.
-
E.
Amurrio
Amurrio is a town and municipality in the Basque province of Álava in northern Spain, known for its industrial activity and scenic rural surroundings.
- 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: Abia Triple: [Abia State, shortName, Abia]
Generated description
Abia is a state in southeastern Nigeria known for its commercial hub Aba and its role in regional trade and industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Abia Target entity description: Abia is a state in southeastern Nigeria known for its commercial hub Aba and its role in regional trade and industry.
-
A.
Leioa
Leioa is a suburban municipality in the Basque Country in northern Spain, located near Bilbao in the province of Biscay.
-
B.
Irrua
Irrua is a prominent town in southern Nigeria known for hosting the Irrua Specialist Teaching Hospital and serving as an important local commercial and administrative center in Edo State.
-
C.
Biscay
Biscay is a coastal province in northern Spain, known for its capital Bilbao and its role as a historic and cultural center of the Basque Country.
-
D.
Beasain
Beasain is a town in the Basque province of Gipuzkoa in northern Spain, known for its strong industrial base and railway manufacturing heritage.
-
E.
Amurrio
Amurrio is a town and municipality in the Basque province of Álava in northern Spain, known for its industrial activity and scenic rural surroundings.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e75b9f88190a54372c2a1223a4e |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0fca5e4819086b010fdd1813419 |
completed | May 3, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69f6c20a1eb881908a28dc884c2005ef |
completed | May 3, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c34b9ec08190bb29458b6f43c388 |
completed | May 3, 2026, 3:38 a.m. |
Created at: April 9, 2026, 8:43 p.m.