Triple
T12799152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linda Mar Beach |
E305967
|
entity |
| Predicate | hasAccess |
P273
|
FINISHED |
| Object | Highway 1 |
E666206
|
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: Highway 1 | Statement: [Linda Mar Beach, hasAccess, Highway 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Highway 1 Context triple: [Linda Mar Beach, hasAccess, Highway 1]
-
A.
Highway 1
Highway 1 is a primary east–west transportation route in Canada that forms part of the Trans-Canada Highway system.
-
B.
Highway 1
chosen
Highway 1 is a scenic coastal highway in California renowned for its dramatic ocean views and access to landmarks along the Pacific shoreline.
-
C.
Highway 1
Highway 1 is a major Israeli roadway that serves as a primary route between Tel Aviv and Jerusalem and continues eastward toward the Jordan Valley.
-
D.
State Highway 1
State Highway 1 is New Zealand’s primary national highway, running the length of the country and connecting major cities and regions from north to south.
-
E.
Highway 101
Highway 101 is a major Ontario provincial highway in Canada that runs east–west across Northern Ontario, connecting several remote communities and resource-based regions.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6f858c8190915ede38e9a6a2df |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8be7834819085bfce037c467004 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 5:30 p.m.