Triple
T15071448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E-470 |
E379888
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Interstate 70 |
E20492
|
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: Interstate 70 | Statement: [E-470, connectsTo, Interstate 70]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Interstate 70 Context triple: [E-470, connectsTo, Interstate 70]
-
A.
Interstate 70
chosen
Interstate 70 is a major east–west U.S. highway that stretches from Utah to Maryland, serving as a key transportation corridor across the central United States.
-
B.
Interstate 25
Interstate 25 is a major north–south U.S. highway running through the Rocky Mountain region, connecting cities from New Mexico through Colorado to Wyoming.
-
C.
Interstate 60
Interstate 60 is a 2002 fantasy-comedy road film that follows a young man’s surreal journey along a mysterious highway where he confronts moral dilemmas and life-altering choices.
-
D.
Highway 70
Highway 70 is a major north–south roadway in northern Israel that connects several key cities and junctions in the region.
-
E.
Interstate 15
Interstate 15 is a major north–south U.S. highway running from Southern California through the Intermountain West to the Canadian border, serving key cities such as Las Vegas and Salt Lake City.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7f86df48190b3a2cf441fefb477 |
completed | April 15, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae048fa08190ba5719ca9868b50d |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 3:02 a.m.