Triple
T7957608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Quinsigamond |
E184778
|
entity |
| Predicate | crossedBy |
P416
|
FINISHED |
| Object | Interstate 290 |
E172617
|
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 290 | Statement: [Lake Quinsigamond, crossedBy, Interstate 290]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Interstate 290 Context triple: [Lake Quinsigamond, crossedBy, Interstate 290]
-
A.
Interstate 290
Interstate 290 is a highway in western New York that serves as a key connector between Buffalo’s suburbs and major regional routes.
-
B.
Interstate 290
chosen
Interstate 290 is a highway in Massachusetts that serves as a key connector between Worcester and the surrounding regional interstate network.
-
C.
I-290
I-290 is a major Interstate Highway in northeastern Illinois that serves as a key commuter route connecting Chicago with its western suburbs.
-
D.
Interstate 294
Interstate 294 is a major toll highway in the Chicago metropolitan area that forms part of the Tri-State Tollway, carrying traffic around the city and connecting key regional routes.
-
E.
Interstate 630
Interstate 630 is an east–west auxiliary Interstate Highway serving as a major commuter route through Little Rock, Arkansas.
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b7ebb24819094bc011d51ef63fb |
completed | March 31, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d076fe8448819087e12ffe4d5bdf3c |
completed | April 4, 2026, 2:27 a.m. |
Created at: March 30, 2026, 5:11 p.m.