Triple
T10956884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arusha Region |
E258867
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Longido
Longido is a town in northern Tanzania that serves as a local center near Mount Longido and the Kenyan border within the Arusha Region.
|
E897781
|
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: Longido | Statement: [Arusha Region, containsTown, Longido]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Longido Context triple: [Arusha Region, containsTown, Longido]
-
A.
Longiano
Longiano is a historic hilltop town in Italy’s Emilia-Romagna region, known for its medieval castle, scenic views, and well-preserved old center.
-
B.
Eliada
Eliada is a lesser-known biblical figure mentioned in the Old Testament as one of King David’s sons.
-
C.
Calagurris
Calagurris was an ancient Roman town in Hispania Tarraconensis, located in what is now northern Spain and known as the birthplace of the rhetorician Quintilian.
-
D.
Gisondo
Gisondo is an Italian-origin surname most notably borne by American actor Skyler Gisondo.
-
E.
Dainzú
Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
- 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: Longido Triple: [Arusha Region, containsTown, Longido]
Generated description
Longido is a town in northern Tanzania that serves as a local center near Mount Longido and the Kenyan border within the Arusha Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Longido Target entity description: Longido is a town in northern Tanzania that serves as a local center near Mount Longido and the Kenyan border within the Arusha Region.
-
A.
Longiano
Longiano is a historic hilltop town in Italy’s Emilia-Romagna region, known for its medieval castle, scenic views, and well-preserved old center.
-
B.
Eliada
Eliada is a lesser-known biblical figure mentioned in the Old Testament as one of King David’s sons.
-
C.
Calagurris
Calagurris was an ancient Roman town in Hispania Tarraconensis, located in what is now northern Spain and known as the birthplace of the rhetorician Quintilian.
-
D.
Gisondo
Gisondo is an Italian-origin surname most notably borne by American actor Skyler Gisondo.
-
E.
Dainzú
Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d771260e9881909401a7a7466e1b8a |
completed | April 9, 2026, 9:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3447d8cc88190a3e28f204a93a7d3 |
completed | April 18, 2026, 8:44 a.m. |
| NEDg | Description generation | batch_69e3556ad7ec819095b3babc67ecdfd4 |
completed | April 18, 2026, 9:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e358f860f08190bfd10519ff3806aa |
completed | April 18, 2026, 10:12 a.m. |
Created at: April 8, 2026, 9:23 p.m.