Triple
T11922938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yokneam High-Tech Park |
E283701
|
entity |
| Predicate | hasTransportationAccess |
P1298
|
FINISHED |
| Object | Highway 70 |
—
|
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: Highway 70 | Statement: [Yokneam High-Tech Park, hasTransportationAccess, Highway 70]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Highway 70 Context triple: [Yokneam High-Tech Park, hasTransportationAccess, Highway 70]
-
A.
Highway 70
chosen
Highway 70 is a major north–south roadway in northern Israel that connects several key cities and junctions in the region.
-
B.
Highway 40
Highway 40 is a regional roadway in Ontario, Canada, that serves as a key transportation route through the municipality of Chatham-Kent.
-
C.
Carretera Federal 70
Carretera Federal 70 is a major Mexican federal highway that runs east–west across central Mexico, connecting several key cities and regions.
-
D.
Highway 89
Highway 89 is a provincial highway in Ontario, Canada, that serves as a key east–west route connecting several communities in the south-central part of the province.
-
E.
Highway 89
Highway 89 is a major north–south U.S. route in the western United States known for its scenic stretches through national parks and natural landmarks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8e2fc648190a446c1917db1c7d9 |
completed | April 10, 2026, 12:11 p.m. |
Created at: April 8, 2026, 9:45 p.m.