Triple
T12835270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Etung |
E306893
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Effraya |
E1005107
|
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: Effraya | Statement: [Etung, hasMajorTown, Effraya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Effraya Context triple: [Etung, hasMajorTown, Effraya]
-
A.
Effraya
chosen
Effraya is the principal city and administrative center of the region of Etung.
-
B.
Waikerie
Waikerie is a rural town in South Australia's Riverland region, known for its citrus and grape growing, riverfront recreation, and role as a service hub for surrounding agricultural communities.
-
C.
Muriti
Muriti is a settlement located within Ukerewe District in Tanzania’s Mwanza Region.
-
D.
Sonoyta
Sonoyta is a small town in the Mexican state of Sonora, located near the U.S. border opposite Lukeville, Arizona, and serving as a gateway to the surrounding desert and protected natural areas.
-
E.
Galeana
Galeana is a Spanish-language surname most notably associated with Hermenegildo Galeana, a key insurgent leader in Mexico’s War of Independence.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96fb1c7248190bb6e644e041d192e |
completed | April 10, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69b9bb0b48190ba3f9f92d270db83 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:34 p.m.