Triple
T6259281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanz |
E140252
|
entity |
| Predicate | hasBranch |
P35
|
FINISHED |
| Object | Sanz-Netanya |
E445634
|
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: Sanz-Netanya | Statement: [Sanz, hasBranch, Sanz-Netanya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanz-Netanya Context triple: [Sanz, hasBranch, Sanz-Netanya]
-
A.
Netanya
chosen
Netanya is a coastal city in central Israel on the Mediterranean Sea, known for its beaches, tourism, and role as a regional economic center.
-
B.
Sakhnin
Sakhnin is an Arab city in northern Israel known for its predominantly Muslim population and its football club Bnei Sakhnin, which has played in the Israeli Premier League.
-
C.
Hadera
Hadera is a coastal city in northern Israel known for its power station, beaches, and location between Tel Aviv and Haifa.
-
D.
Nhava Sheva
Nhava Sheva, also known as Jawaharlal Nehru Port, is India’s largest container port located across the harbor from Mumbai.
-
E.
Herzliya
Herzliya is a coastal city in central Israel known as a high-tech and academic hub, home to major technology companies and institutions.
- 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_69c008c95c5c819084bd3dd56133d84d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06383616c819090c7994740317564 |
completed | March 22, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c24444b85c8190adf09c473b42ea9b |
completed | March 24, 2026, 7:59 a.m. |
Created at: March 22, 2026, 4:24 p.m.