Triple
T11965311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akwa Ibom State University |
E284777
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
AKSU
AKSU is the commonly used acronym for Akwa Ibom State University, a state-owned higher education institution in Akwa Ibom, Nigeria.
|
E957049
|
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: AKSU | Statement: [Akwa Ibom State University, abbreviation, AKSU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AKSU Context triple: [Akwa Ibom State University, abbreviation, AKSU]
-
A.
Atkarsk
Atkarsk is a small Russian town known for its agricultural surroundings and location within the Volga region.
-
B.
Termez
Termez is a historic city in southern Uzbekistan near the Afghan border, known as an important cultural and trade center along the ancient Silk Road.
-
C.
Andijan
Andijan is a historic city in eastern Uzbekistan, known as a major cultural and economic center of the Fergana Valley and as the birthplace of the Mughal emperor Babur.
-
D.
Aksay
Aksay is a small industrial city in western Kazakhstan known for its role in the regional oil and gas sector.
-
E.
Karaganda
Karaganda is a large industrial city in central Kazakhstan known for its coal mining industry and Soviet-era history.
- 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: AKSU Triple: [Akwa Ibom State University, abbreviation, AKSU]
Generated description
AKSU is the commonly used acronym for Akwa Ibom State University, a state-owned higher education institution in Akwa Ibom, Nigeria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AKSU Target entity description: AKSU is the commonly used acronym for Akwa Ibom State University, a state-owned higher education institution in Akwa Ibom, Nigeria.
-
A.
Atkarsk
Atkarsk is a small Russian town known for its agricultural surroundings and location within the Volga region.
-
B.
Termez
Termez is a historic city in southern Uzbekistan near the Afghan border, known as an important cultural and trade center along the ancient Silk Road.
-
C.
Andijan
Andijan is a historic city in eastern Uzbekistan, known as a major cultural and economic center of the Fergana Valley and as the birthplace of the Mughal emperor Babur.
-
D.
Aksay
Aksay is a small industrial city in western Kazakhstan known for its role in the regional oil and gas sector.
-
E.
Karaganda
Karaganda is a large industrial city in central Kazakhstan known for its coal mining industry and Soviet-era history.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903799f948190a5dc4d3822f3ff27 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f45952f69c8190a8c7f3c327ea1a63 |
completed | May 1, 2026, 7:42 a.m. |
| NEDg | Description generation | batch_69f45f89d5b08190a87312d96e61898a |
completed | May 1, 2026, 8:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f464a5191881908e291943996169cb |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 8, 2026, 9:46 p.m.