Triple
T21335345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ness Ziona |
E526029
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Rishon LeZion |
—
|
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: Rishon LeZion | Statement: [Ness Ziona, locatedNear, Rishon LeZion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rishon LeZion Context triple: [Ness Ziona, locatedNear, Rishon LeZion]
-
A.
Rishon LeZion
chosen
Rishon LeZion is one of Israel’s largest and oldest cities, located on the country’s central coastal plain and known for its historical role in the early Zionist movement and modern urban development.
-
B.
Petah Tikva
Petah Tikva is a major city in central Israel, known as one of the country’s oldest modern Jewish settlements and a significant industrial and commercial hub in the Tel Aviv metropolitan area.
-
C.
Ramat Gan
Ramat Gan is a city in the Tel Aviv District of Israel, known for its diamond exchange district, business centers, and large urban park.
-
D.
Kiryat Ben-Gurion
Kiryat Ben-Gurion is a government complex in Jerusalem that houses key Israeli national institutions, including the Prime Minister's Office.
-
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 (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_69e0b51c33048190ab27cede74ef798c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e898d6fcbc8190b83d9cfc9b4ca123 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 4:43 p.m.