Triple
T13705768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kogi State |
E328635
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Kabba
Kabba is a prominent town in central Nigeria known as a key commercial and cultural hub within Kogi State.
|
E1054934
|
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: Kabba | Statement: [Kogi State, hasMajorCity, Kabba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kabba Context triple: [Kogi State, hasMajorCity, Kabba]
-
A.
Kabba
Kabba is a Central Sudanic language spoken primarily in the Central African Republic.
-
B.
Kabah
Kabah is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, noted for its elaborate Puuc-style architecture and richly decorated palace facades.
-
C.
Kaaba
The Kaaba is a cube-shaped building at the center of Islam’s most important mosque in Mecca and the focal point of Muslim prayer and pilgrimage.
-
D.
al-Ḥajar al-Aswad
al-Ḥajar al-Aswad is the revered Black Stone set into the eastern corner of the Kaaba in Mecca, venerated by Muslims as a sacred relic associated with Islamic tradition and pilgrimage.
-
E.
Hammada
Hammada is a small genus of hardy, drought-tolerant shrubs native to arid and semi-arid regions, often found in desert and steppe ecosystems.
- 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: Kabba Triple: [Kogi State, hasMajorCity, Kabba]
Generated description
Kabba is a prominent town in central Nigeria known as a key commercial and cultural hub within Kogi State.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kabba Target entity description: Kabba is a prominent town in central Nigeria known as a key commercial and cultural hub within Kogi State.
-
A.
Kabba
Kabba is a Central Sudanic language spoken primarily in the Central African Republic.
-
B.
Kabah
Kabah is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, noted for its elaborate Puuc-style architecture and richly decorated palace facades.
-
C.
Kaaba
The Kaaba is a cube-shaped building at the center of Islam’s most important mosque in Mecca and the focal point of Muslim prayer and pilgrimage.
-
D.
al-Ḥajar al-Aswad
al-Ḥajar al-Aswad is the revered Black Stone set into the eastern corner of the Kaaba in Mecca, venerated by Muslims as a sacred relic associated with Islamic tradition and pilgrimage.
-
E.
Hammada
Hammada is a small genus of hardy, drought-tolerant shrubs native to arid and semi-arid regions, often found in desert and steppe ecosystems.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad17732c8190bbd0d73107711c99 |
completed | April 13, 2026, 8:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7945b63288190819621830ac1c0d6 |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f796df515c819080a95621a8308629 |
completed | May 3, 2026, 6:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7976846308190b1a5c056609fca34 |
completed | May 3, 2026, 6:43 p.m. |
Created at: April 9, 2026, 9:54 p.m.