Triple
T1215678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hasidism |
E26100
|
entity |
| Predicate | hasDemographicCenter |
P25074
|
FINISHED |
| Object | Bnei Brak |
E102846
|
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: Bnei Brak | Statement: [Hasidism, hasDemographicCenter, Bnei Brak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bnei Brak Context triple: [Hasidism, hasDemographicCenter, Bnei Brak]
-
A.
Bnei Brak
chosen
Bnei Brak is a densely populated city in Israel known as a major center of ultra-Orthodox Jewish life and culture.
-
B.
Herzliya
Herzliya is a coastal city in central Israel known as a high-tech and academic hub, home to major technology companies and institutions.
-
C.
Keren Hayesod
Keren Hayesod is a central fundraising organization for Israel and the Jewish people worldwide, supporting immigration, settlement, and social development projects in partnership with major Zionist institutions.
-
D.
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.
-
E.
Rehovot
Rehovot is a city in central Israel known for its scientific and agricultural research institutions, including the Weizmann Institute of Science.
- 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_69a4948331fc8190b531ac9bec71c491 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf169868819090cfab7e34c40c67 |
completed | March 1, 2026, 10:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac831fb6bc8190907f36e52489ec5c |
completed | March 7, 2026, 7:57 p.m. |
Created at: March 1, 2026, 7:46 p.m.