Triple
T34282165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Highway 90 |
E879620
|
entity |
| Predicate | isLongestRoadIn |
P135071
|
FINISHED |
| Object | Israel |
—
|
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: Israel | Statement: [Highway 90, isLongestRoadIn, Israel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLongestRoadIn Context triple: [Highway 90, isLongestRoadIn, Israel]
-
A.
isOneOfLongestStreetsIn
Indicates that a street is among the longest streets within a specified area or region.
-
B.
isLongestAutobahnIn
Indicates that a specific autobahn is the longest one within a given geographic or administrative region.
-
C.
isOneOfLongestHighwaysIn
chosen
Indicates that a highway is among the longest highways within a specified geographic region or jurisdiction.
-
D.
hasTransitVillage
Indicates that an entity includes, is associated with, or is the location of a designated transit-oriented village or development area.
-
E.
hasMainStraightLengthKm
Indicates the length in kilometers of the primary or main straight segment associated with an entity.
- 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_69f349b5f6648190b9420d94a4cd16e0 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:57 a.m.