Triple
T8447428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gal Gadot |
E199710
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Petah Tikva |
E155360
|
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: Petah Tikva | Statement: [Gal Gadot, placeOfBirth, Petah Tikva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Petah Tikva Context triple: [Gal Gadot, placeOfBirth, Petah Tikva]
-
A.
Petah Tikva
chosen
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.
-
B.
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.
-
C.
Herzliya
Herzliya is a coastal city in central Israel known as a high-tech and academic hub, home to major technology companies and institutions.
-
D.
Rishon LeZion, Israel
Rishon LeZion is one of Israel’s largest cities, located on the Mediterranean coast south of Tel Aviv, known for its historic role in the early Zionist movement and its modern urban and industrial development.
-
E.
Ra'anana
Ra'anana is a prosperous suburban city in central Israel known for its high quality of life, strong education system, and significant high-tech and business presence.
- 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_69ca83170f9081909cd98f55614c6476 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe44480ec8190b32443a53cd4f943 |
completed | March 31, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6cf9368081909cad61cdf6156a0e |
completed | April 2, 2026, 1:19 p.m. |
Created at: March 30, 2026, 6:09 p.m.