Triple
T20343980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Har Gilboa |
E495815
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Beit Shean |
—
|
NE NERFINISHED |
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: Beit Shean | Statement: [Har Gilboa, locatedNear, Beit Shean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beit Shean Context triple: [Har Gilboa, locatedNear, Beit Shean]
-
A.
Beit She'an
chosen
Beit She'an is an ancient city in northeastern Israel known for its extensive archaeological remains, including a well-preserved Roman-Byzantine ruins complex.
-
B.
Beit Shemesh
Beit Shemesh is a rapidly growing city in central Israel, located west of Jerusalem and known for its diverse population and mix of modern neighborhoods and ancient archaeological sites.
-
C.
Kiryat Tiv'on
Kiryat Tiv'on is a town in northern Israel, near Haifa, known for its residential character and proximity to archaeological and natural sites.
-
D.
Kfar Saba
Kfar Saba is a city in central Israel, known as a suburban and commercial hub in the Sharon plain near Tel Aviv.
-
E.
Kiryat David
Kiryat David is a residential neighborhood in the city of Rehovot, Israel.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a3320881909495ae8bc30bc2dc |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67837bef8819091e552d1c8a1665c |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:24 a.m.