Triple
T16044243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gash-Barka Region |
E389174
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Tesseney |
E429516
|
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: Tesseney | Statement: [Gash-Barka Region, hasSettlement, Tesseney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tesseney Context triple: [Gash-Barka Region, hasSettlement, Tesseney]
-
A.
Tesseney
chosen
Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
-
B.
Tarcenay
Tarcenay is a small commune in the Doubs department of the Bourgogne-Franche-Comté region in eastern France.
-
C.
Kilnsey
Kilnsey is a small rural village in the Yorkshire Dales of northern England, known for its dramatic limestone crag and scenic countryside.
-
D.
Brackenfell
Brackenfell is a residential suburb in the northern part of Cape Town, South Africa, known for its family-friendly neighborhoods and proximity to major transport routes and shopping centers.
-
E.
Umberleigh
Umberleigh is a small rural village in North Devon, England, situated on the River Taw and served by a local railway station.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1835d1dac819089abec9f0668ec78 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbd95d508190a21db435fb69f8d7 |
completed | May 10, 2026, 1:14 a.m. |
Created at: April 10, 2026, 4:56 a.m.