Triple
T37875111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Highway 225 (Israel) |
E944697
|
entity |
| Predicate | hasGeologicalAttractionAlongRoute |
P194420
|
FINISHED |
| Object | Makhtesh Katan |
—
|
NE NERFINISHED |
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: Makhtesh Katan | Statement: [Highway 225 (Israel), hasGeologicalAttractionAlongRoute, Makhtesh Katan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGeologicalAttractionAlongRoute Context triple: [Highway 225 (Israel), hasGeologicalAttractionAlongRoute, Makhtesh Katan]
-
A.
hasTouristTrails
Indicates that an entity contains or is equipped with designated paths or routes intended for use by tourists.
-
B.
hasScenicRoutes
Indicates that one location, path, or area offers routes that are visually attractive or notable for their natural or aesthetic scenery.
-
C.
isScenicStartingPointFor
Indicates that a location serves as an especially picturesque or visually appealing starting point for a route, journey, or activity.
-
D.
hasScenicSectionNear
Indicates that one location includes a visually appealing or picturesque segment situated close to another specified location.
-
E.
hasNaturalAttractionsNearby
chosen
Indicates that a place is located near or surrounded by notable natural attractions or scenic natural features.
- 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_69f76eef55d481908ca6660b4b532550 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe68a4b67881909ca1d9f276f922e0 |
completed | May 8, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69fe680234c88190b01f953987b74972 |
completed | May 8, 2026, 10:47 p.m. |
Created at: May 3, 2026, 4:19 p.m.