Triple
T5132174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Gilboa |
E115725
|
entity |
| Predicate | nearCity |
P350
|
FINISHED |
| Object | Afula |
E104863
|
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: Afula | Statement: [Mount Gilboa, nearCity, Afula]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Afula Context triple: [Mount Gilboa, nearCity, Afula]
-
A.
Afula
chosen
Afula is a city in northern Israel often referred to as the "Capital of the Jezreel Valley," serving as a regional commercial and transportation hub.
-
B.
Iluka
Iluka is a small coastal town in northern New South Wales, Australia, known for its beaches, fishing, and proximity to the Clarence River and Iluka Nature Reserve.
-
C.
Zaria
Zaria is a historic city in northern Nigeria known as an important center of Hausa culture, Islamic scholarship, and trade.
-
D.
Tarhuna
Tarhuna is a town in northwestern Libya, southeast of Tripoli, known for its strategic role and tribal influence during the Libyan civil conflicts.
-
E.
Buhera
Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
- 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd784b477c8190926daddb28a255af |
completed | March 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec4c9a14881908a8bf2f73ebf56f7 |
completed | March 21, 2026, 4:18 p.m. |
Created at: March 20, 2026, 1:42 p.m.