Triple
T12989524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Damaturu |
E321865
|
entity |
| Predicate | roadConnection |
P385
|
FINISHED |
| Object | Gashua |
E348493
|
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: Gashua | Statement: [Damaturu, roadConnection, Gashua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gashua Context triple: [Damaturu, roadConnection, Gashua]
-
A.
Gashua
chosen
Gashua is a town in northeastern Nigeria that serves as an important commercial and administrative center in Yobe State.
-
B.
Ghanongga
Ghanongga is an Oceanic language spoken in the Solomon Islands, particularly in the Western Province.
-
C.
Gusau
Gusau is a major city in northwestern Nigeria that serves as the administrative and economic hub of Zamfara State.
-
D.
Oshikwambi
Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
-
E.
Bashu
Bashu is an ancient cultural and historical region in southwestern China, centered around present-day Sichuan and Chongqing, known for its distinct traditions, language, and early civilizations.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e75b9f88190a54372c2a1223a4e |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8f942588190b69a3067d5145182 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 8:43 p.m.