Triple
T16080314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galguduud |
E390091
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Danan
Danan is a town located in the Galguduud region of central Somalia.
|
E1193080
|
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: Danan | Statement: [Galguduud, hasTown, Danan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danan Context triple: [Galguduud, hasTown, Danan]
-
A.
Waodani
Waodani are an Indigenous people of the Ecuadorian Amazon rainforest known for their traditional semi-nomadic lifestyle and deep connection to their forest environment.
-
B.
Dara
Dara is a given name most prominently associated with Dara Khosrowshahi, the Iranian-American businessman and CEO of Uber.
-
C.
Dara
Dara was a strategically important fortified city in northern Mesopotamia that served as a key Byzantine stronghold against the Sasanian Empire.
-
D.
Támara
Támara is a small rural municipality in eastern Colombia known for its agricultural economy and location in the Andean foothills of the Casanare region.
-
E.
Davian
Davian is a masculine given name, often considered a modern variant of names like David or Davin.
- 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: Danan Triple: [Galguduud, hasTown, Danan]
Generated description
Danan is a town located in the Galguduud region of central Somalia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Danan Target entity description: Danan is a town located in the Galguduud region of central Somalia.
-
A.
Waodani
Waodani are an Indigenous people of the Ecuadorian Amazon rainforest known for their traditional semi-nomadic lifestyle and deep connection to their forest environment.
-
B.
Dara
Dara is a given name most prominently associated with Dara Khosrowshahi, the Iranian-American businessman and CEO of Uber.
-
C.
Dara
Dara was a strategically important fortified city in northern Mesopotamia that served as a key Byzantine stronghold against the Sasanian Empire.
-
D.
Támara
Támara is a small rural municipality in eastern Colombia known for its agricultural economy and location in the Andean foothills of the Casanare region.
-
E.
Davian
Davian is a masculine given name, often considered a modern variant of names like David or Davin.
- 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.