Triple
T14998711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chagga people |
E374025
|
entity |
| Predicate | geographicDistribution |
P2178
|
FINISHED |
| Object | Hai District |
E374020
|
NE FINISHED |
How this triple was built (2 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: Hai District | Statement: [Chagga people, geographicDistribution, Hai District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hai District Context triple: [Chagga people, geographicDistribution, Hai District]
-
A.
Hai District
chosen
Hai District is an administrative district in northern Tanzania situated within the Kilimanjaro Region, known for its proximity to Mount Kilimanjaro and its largely rural, agricultural communities.
-
B.
Pai District
Pai District is a mountainous rural district in northern Thailand known for its scenic landscapes, laid-back backpacker town of Pai, and popularity as an eco-tourism and cultural tourism destination.
-
C.
Kaifu District
Kaifu District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
D.
Kuta District
Kuta District is a popular coastal area in southern Bali, Indonesia, known for its busy tourist beaches, nightlife, and surf culture.
-
E.
Chikan District
Chikan District is an urban administrative district and central area of Zhanjiang City in Guangdong Province, China.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded71a5618819083ae96a79735ef98 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7d956808190a3f17ef14c21d3af |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 2:54 a.m.