Triple
T8459814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bale Zone |
E200011
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Goba town
Goba town is an urban center in southeastern Ethiopia known as a gateway to the nearby Bale Mountains and their national park.
|
E735314
|
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: Goba town | Statement: [Bale Zone, contains, Goba town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goba town Context triple: [Bale Zone, contains, Goba town]
-
A.
Gadap Town
Gadap Town is a large suburban and semi-rural administrative area on the outskirts of Karachi, Pakistan, known for its rapidly growing population and mix of urban and agricultural landscapes.
-
B.
Panguna town
Panguna town is a settlement on Bougainville Island in Papua New Guinea that developed around and services the large Panguna copper and gold mine.
-
C.
Goi town
Goi town is the administrative and political center of Vụ Bản District in Nam Định Province, Vietnam.
-
D.
Geita town
Geita town is an urban center in northwestern Tanzania that serves as the administrative and commercial hub of the gold-rich Geita Region.
-
E.
Itezhi-Tezhi town
Itezhi-Tezhi town is a settlement in Zambia that developed near the Itezhi-Tezhi Dam and serves as a local center for services and access to the surrounding rural and wildlife areas.
- 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: Goba town Triple: [Bale Zone, contains, Goba town]
Generated description
Goba town is an urban center in southeastern Ethiopia known as a gateway to the nearby Bale Mountains and their national park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Goba town Target entity description: Goba town is an urban center in southeastern Ethiopia known as a gateway to the nearby Bale Mountains and their national park.
-
A.
Gadap Town
Gadap Town is a large suburban and semi-rural administrative area on the outskirts of Karachi, Pakistan, known for its rapidly growing population and mix of urban and agricultural landscapes.
-
B.
Panguna town
Panguna town is a settlement on Bougainville Island in Papua New Guinea that developed around and services the large Panguna copper and gold mine.
-
C.
Goi town
Goi town is the administrative and political center of Vụ Bản District in Nam Định Province, Vietnam.
-
D.
Geita town
Geita town is an urban center in northwestern Tanzania that serves as the administrative and commercial hub of the gold-rich Geita Region.
-
E.
Itezhi-Tezhi town
Itezhi-Tezhi town is a settlement in Zambia that developed near the Itezhi-Tezhi Dam and serves as a local center for services and access to the surrounding rural and wildlife areas.
- 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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe49fca788190a8728ff74f4d26f5 |
completed | March 31, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1df214ac8190b59daa88e3a930bc |
completed | April 2, 2026, 7:42 a.m. |
| NEDg | Description generation | batch_69ce21c53298819080137c87ff487b50 |
completed | April 2, 2026, 7:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce23d6da1c8190a28bc895d737595e |
completed | April 2, 2026, 8:07 a.m. |
Created at: March 30, 2026, 6:10 p.m.