Triple
T5965725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haifa District |
E132745
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Nesher |
E344038
|
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: Nesher | Statement: [Haifa District, containsCity, Nesher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nesher Context triple: [Haifa District, containsCity, Nesher]
-
A.
Nesher
chosen
Nesher is an industrial town in northern Israel located on the slopes of Mount Carmel, known historically for its cement factory and proximity to Haifa.
-
B.
Kebechet
Kebechet is an ancient Egyptian goddess associated with purification and cooling water, particularly in the context of mummification and the afterlife.
-
C.
Rasor
Rasor is a comic servant character in John Vanbrugh’s Restoration comedy play "The Provoked Wife."
-
D.
Xerus
Xerus is a genus of African ground squirrels known for their diurnal, social behavior and adaptation to open, arid habitats.
-
E.
Esek
Esek is a masculine given name most notably borne by Esek Hopkins, the first Commander-in-Chief of the Continental Navy during the American Revolutionary War.
- 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_69c0e3f917c881909c4f780937c5fa7b |
completed | March 23, 2026, 6:55 a.m. |
Created at: March 22, 2026, 4:03 p.m.