Triple
T16080313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galguduud |
E390091
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Wabho
Wabho is a town located in the Galguduud region of central Somalia.
|
E1193079
|
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: Wabho | Statement: [Galguduud, hasTown, Wabho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wabho Context triple: [Galguduud, hasTown, Wabho]
-
A.
Wala
The Wala are an ethnic group primarily inhabiting the Upper West Region of Ghana, known for their Islamic heritage, centralized chieftaincy system, and rich traditions in trade and craftsmanship.
-
B.
Wala
Wala is an Oceanic language variety spoken in Vanuatu, recognized as one of the dialects within the Uripiv-Wala-Rano-Atchin dialect chain.
-
C.
Walo
Walo was a precolonial West African kingdom in the lower Senegal River region, known as one of the successor states to the Wolof Empire.
-
D.
Walo
Walo is a specific subgroup within the Dogon languages, a cluster of closely related languages spoken primarily in Mali.
-
E.
Waibakul
Waibakul is a town on the island of Sumba in Indonesia that serves as the administrative and political center of Central Sumba Regency.
- 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: Wabho Triple: [Galguduud, hasTown, Wabho]
Generated description
Wabho is a town located in the Galguduud region of central Somalia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wabho Target entity description: Wabho is a town located in the Galguduud region of central Somalia.
-
A.
Wala
The Wala are an ethnic group primarily inhabiting the Upper West Region of Ghana, known for their Islamic heritage, centralized chieftaincy system, and rich traditions in trade and craftsmanship.
-
B.
Wala
Wala is an Oceanic language variety spoken in Vanuatu, recognized as one of the dialects within the Uripiv-Wala-Rano-Atchin dialect chain.
-
C.
Walo
Walo was a precolonial West African kingdom in the lower Senegal River region, known as one of the successor states to the Wolof Empire.
-
D.
Walo
Walo is a specific subgroup within the Dogon languages, a cluster of closely related languages spoken primarily in Mali.
-
E.
Waibakul
Waibakul is a town on the island of Sumba in Indonesia that serves as the administrative and political center of Central Sumba Regency.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1844a5c68819086a13c93a787b436 |
completed | April 17, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe48adec081909623355eabee472c |
completed | May 10, 2026, 1:51 a.m. |
| NEDg | Description generation | batch_69ffe6af1c4081908b57f4dc485fbb14 |
completed | May 10, 2026, 2 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe769d56081908f723e92d327e315 |
completed | May 10, 2026, 2:03 a.m. |
Created at: April 10, 2026, 4:57 a.m.