Triple
T14653064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tirat Carmel |
E344037
|
entity |
| Predicate | hasNeighboringSettlement |
P63834
|
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: [Tirat Carmel, hasNeighboringSettlement, Nesher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nesher Context triple: [Tirat Carmel, hasNeighboringSettlement, 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.
En Nahud
En Nahud is a town in central Sudan known as an important commercial and transport hub within North Kordofan.
-
D.
Rasor
Rasor is a comic servant character in John Vanbrugh’s Restoration comedy play "The Provoked Wife."
-
E.
Xerus
Xerus is a genus of African ground squirrels known for their diurnal, social behavior and adaptation to open, arid habitats.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb518f7dc8190877997ea4cd3eed2 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5db85648190b0e5b1c0827fa9f4 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:27 a.m.