Triple

T16080308
Position Surface form Disambiguated ID Type / Status
Subject Galguduud E390091 entity
Predicate hasTown P847 FINISHED
Object Abudwak
Abudwak is a town in central Somalia that serves as an important local hub within the Galguduud region.
 E1193075 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: Abudwak | Statement: [Galguduud, hasTown, Abudwak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Abudwak
Context triple: [Galguduud, hasTown, Abudwak]
  • A. Abulug
    Abulug is a municipality in the province of Cagayan in the Cagayan Valley region of the Philippines, known for its agricultural economy and location along the Abulug River.
  • B. Al-Abwa
    Al-Abwa is a small village in western Saudi Arabia historically noted as the place where Aminah bint Wahb, the mother of the Prophet Muhammad, died and was buried.
  • C. Bakhdida
    Bakhdida is a historically Assyrian Christian town in northern Iraq, known for its ancient churches and location in the Nineveh Plains near Mosul.
  • D. Abure
    Abure is a Central Tano language spoken primarily in Côte d’Ivoire by the Abure people.
  • E. Dhiban
    Dhiban is an archaeological site and modern town in Jordan, historically significant as the ancient Moabite city of Dibon.
  • 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: Abudwak
Triple: [Galguduud, hasTown, Abudwak]
Generated description
Abudwak is a town in central Somalia that serves as an important local hub within the Galguduud region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Abudwak
Target entity description: Abudwak is a town in central Somalia that serves as an important local hub within the Galguduud region.
  • A. Abulug
    Abulug is a municipality in the province of Cagayan in the Cagayan Valley region of the Philippines, known for its agricultural economy and location along the Abulug River.
  • B. Al-Abwa
    Al-Abwa is a small village in western Saudi Arabia historically noted as the place where Aminah bint Wahb, the mother of the Prophet Muhammad, died and was buried.
  • C. Bakhdida
    Bakhdida is a historically Assyrian Christian town in northern Iraq, known for its ancient churches and location in the Nineveh Plains near Mosul.
  • D. Abure
    Abure is a Central Tano language spoken primarily in Côte d’Ivoire by the Abure people.
  • E. Dhiban
    Dhiban is an archaeological site and modern town in Jordan, historically significant as the ancient Moabite city of Dibon.
  • 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.