Triple
T37371452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Israel Railways Dimona railway line |
E927853
|
entity |
| Predicate | connectsIndustrialFacilities |
P114262
|
FINISHED |
| Object | Negev industrial plants |
—
|
LITERAL 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: Negev industrial plants | Statement: [Israel Railways Dimona railway line, connectsIndustrialFacilities, Negev industrial plants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsIndustrialFacilities Context triple: [Israel Railways Dimona railway line, connectsIndustrialFacilities, Negev industrial plants]
-
A.
connectsIndustrialCenter
Indicates a relationship where one entity serves as a link or route that joins or provides access between industrial centers.
-
B.
connectsToIndustrialArea
chosen
Indicates that one entity has a direct link, route, or access connection to an industrial area.
-
C.
hasIndustrialPlant
Indicates that an entity possesses, operates, or is associated with an industrial plant facility.
-
D.
industrialBelt
Indicates that an area forms part of a concentrated zone of industrial activity, typically characterized by a high density of factories, plants, or related industrial facilities.
-
E.
industrialFocus
Indicates a relationship where an entity is primarily concerned with, specialized in, or directed toward a particular industrial sector or area of industrial activity.
- F. None of above.
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_69f76eb820248190a5c395ca50ad002a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffe23081408190a121d901dbce1403 |
completed | May 10, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69ffe18aed348190912a5996b2da728b |
completed | May 10, 2026, 1:38 a.m. |
Created at: May 3, 2026, 4:16 p.m.