Triple
T5965730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haifa District |
E132745
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Kiryat Bialik |
E356243
|
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: Kiryat Bialik | Statement: [Haifa District, containsCity, Kiryat Bialik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiryat Bialik Context triple: [Haifa District, containsCity, Kiryat Bialik]
-
A.
Kiryat Bialik
chosen
Kiryat Bialik is a coastal city in northern Israel that forms part of the Haifa metropolitan area.
-
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.
Kiryat Haim
Kiryat Haim is a coastal neighborhood in the northern Israeli city of Haifa, known for its beachfront, residential character, and proximity to the Haifa Bay industrial and port areas.
-
D.
Kiryat Ono
Kiryat Ono is a small suburban city in central Israel, located in the Tel Aviv metropolitan area.
-
E.
Kiryat Moshe
Kiryat Moshe is a residential neighborhood in the central Israeli city of Rehovot.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03a3ca1dc819098cde8ae5ec1d845 |
completed | March 22, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e3a5d54c8190b2bc8b3291f8ac2f |
completed | March 27, 2026, 1:55 a.m. |
Created at: March 22, 2026, 4:03 p.m.