Triple
T19732527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geledi Sultanate |
E473889
|
entity |
| Predicate | centeredOn |
P164
|
FINISHED |
| Object |
Afgooye town
Afgooye town is a historic settlement in southern Somalia that served as the political and commercial heart of the powerful Geledi Sultanate.
|
E1393279
|
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: Afgooye town | Statement: [Geledi Sultanate, centeredOn, Afgooye town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Afgooye town Context triple: [Geledi Sultanate, centeredOn, Afgooye town]
-
A.
Akhthala town
Akhthala town is a historic settlement in northern Armenia known for its medieval monastery and scenic location amid the Debed Canyon.
-
B.
Emirgazi town
Emirgazi town is a small municipal settlement in central Turkey that serves as the local administrative and population center of the Emirgazi district.
-
C.
Ambaji town
Ambaji town is a prominent Hindu pilgrimage center in Gujarat, India, best known for its revered Ambaji Temple dedicated to the goddess Amba.
-
D.
Tarime town
Tarime town is an urban center in northern Tanzania that serves as a commercial and administrative hub near the Kenyan border.
-
E.
Daykundi
Daykundi is a central Afghan province within the Hazarajat region, known for its predominantly Hazara population and mountainous terrain.
- 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: Afgooye town Triple: [Geledi Sultanate, centeredOn, Afgooye town]
Generated description
Afgooye town is a historic settlement in southern Somalia that served as the political and commercial heart of the powerful Geledi Sultanate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Afgooye town Target entity description: Afgooye town is a historic settlement in southern Somalia that served as the political and commercial heart of the powerful Geledi Sultanate.
-
A.
Akhthala town
Akhthala town is a historic settlement in northern Armenia known for its medieval monastery and scenic location amid the Debed Canyon.
-
B.
Emirgazi town
Emirgazi town is a small municipal settlement in central Turkey that serves as the local administrative and population center of the Emirgazi district.
-
C.
Ambaji town
Ambaji town is a prominent Hindu pilgrimage center in Gujarat, India, best known for its revered Ambaji Temple dedicated to the goddess Amba.
-
D.
Tarime town
Tarime town is an urban center in northern Tanzania that serves as a commercial and administrative hub near the Kenyan border.
-
E.
Daykundi
Daykundi is a central Afghan province within the Hazarajat region, known for its predominantly Hazara population and mountainous terrain.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e651596b98819090bcaf05c7b74555 |
completed | April 20, 2026, 4:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07b4f4e1e081908fca0b6513bb3bbb |
completed | May 16, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_6a07b73cc5a48190af0ab9da30c859b4 |
completed | May 16, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07b81193d081908dfb19272b4df41b |
completed | May 16, 2026, 12:19 a.m. |
Created at: April 10, 2026, 1:47 p.m.