Triple
T11723484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Route 290 |
E278698
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
US 290
US 290 is a major east–west U.S. highway in Texas that connects the Austin area with the Houston metropolitan region.
|
E942936
|
NE FINISHED |
How this triple was built (4 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: US 290 | Statement: [U.S. Route 290, abbreviation, US 290]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: US 290 Context triple: [U.S. Route 290, abbreviation, US 290]
-
A.
US 29
US 29 is a major north–south U.S. Highway running through the eastern United States, connecting cities from Florida to Virginia and beyond.
-
B.
US 209
US 209 is a U.S. highway running through Pennsylvania and New York, connecting rural communities, small towns, and scenic areas in the northeastern United States.
-
C.
US 90
US 90 is a major east–west U.S. Highway running across the southern United States, primarily through states along the Gulf Coast.
-
D.
US 280
US 280 is a major U.S. highway running through Alabama and Georgia, linking cities such as Birmingham, Opelika, and Columbus.
-
E.
US 9
US 9 is a major north–south U.S. Highway running along the East Coast, primarily through New Jersey and New York, connecting urban, suburban, and coastal communities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: US 290 Triple: [U.S. Route 290, abbreviation, US 290]
Generated description
US 290 is a major east–west U.S. highway in Texas that connects the Austin area with the Houston metropolitan region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: US 290 Target entity description: US 290 is a major east–west U.S. highway in Texas that connects the Austin area with the Houston metropolitan region.
-
A.
US 29
US 29 is a major north–south U.S. Highway running through the eastern United States, connecting cities from Florida to Virginia and beyond.
-
B.
US 209
US 209 is a U.S. highway running through Pennsylvania and New York, connecting rural communities, small towns, and scenic areas in the northeastern United States.
-
C.
US 90
US 90 is a major east–west U.S. Highway running across the southern United States, primarily through states along the Gulf Coast.
-
D.
US 280
US 280 is a major U.S. highway running through Alabama and Georgia, linking cities such as Birmingham, Opelika, and Columbus.
-
E.
US 9
US 9 is a major north–south U.S. Highway running along the East Coast, primarily through New Jersey and New York, connecting urban, suburban, and coastal communities.
- F. None of above. chosen
Provenance (5 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4d603cc8190b2e68d0bdd793362 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef83c8ac2c8190b3bba7db42734f3a |
completed | April 27, 2026, 3:42 p.m. |
| NEDg | Description generation | batch_69ef96b13be881908102ffa867f96c22 |
completed | April 27, 2026, 5:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69efb51113708190998b570c33b9d0e7 |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 8, 2026, 9:41 p.m.