Triple
T7822529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anjouan |
E181165
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | Mutsamudu |
E695127
|
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: Mutsamudu | Statement: [Anjouan, largestCity, Mutsamudu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mutsamudu Context triple: [Anjouan, largestCity, Mutsamudu]
-
A.
Mutsamudu
chosen
Mutsamudu is the main urban and economic center of the Comorian island of Anjouan, known for its historic medina and Indian Ocean port.
-
B.
Musanze
Musanze is a major town in northern Rwanda that serves as the primary gateway for tourists visiting Volcanoes National Park and its mountain gorillas.
-
C.
Mutasa
Mutasa is a town located in Zimbabwe’s eastern Manicaland Province, known for its rural communities and proximity to the Eastern Highlands.
-
D.
Mudhar
Mudhar was a major northern Arab tribal confederation in pre-Islamic and early Islamic Arabia, encompassing several prominent tribes and lineages.
-
E.
Manfalut
Manfalut is a city in Upper Egypt known as an agricultural and commercial center within the Asyut region along the Nile.
- 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_69ca828153f48190bdb27ac46f8e0745 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cafa095d7081908b3e492ce58b5d5f |
completed | March 30, 2026, 10:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5a66c1c0819087ce9890f28bb022 |
completed | March 31, 2026, 5:23 a.m. |
Created at: March 30, 2026, 4:41 p.m.