Triple
T36104301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oklahoma State Highway 2 |
E1044307
|
entity |
| Predicate | hasJunctionWith |
P1018
|
FINISHED |
| Object |
U.S. Route 270 in Oklahoma
U.S. Route 270 in Oklahoma is a major east–west U.S. highway that traverses central and southeastern Oklahoma, connecting cities such as Oklahoma City with smaller communities before continuing into neighboring states.
|
E2168782
|
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: U.S. Route 270 in Oklahoma | Statement: [Oklahoma State Highway 2, hasJunctionWith, U.S. Route 270 in Oklahoma]
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: U.S. Route 270 in Oklahoma Triple: [Oklahoma State Highway 2, hasJunctionWith, U.S. Route 270 in Oklahoma]
Generated description
U.S. Route 270 in Oklahoma is a major east–west U.S. highway that traverses central and southeastern Oklahoma, connecting cities such as Oklahoma City with smaller communities before continuing into neighboring states.
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_69f76e338e2c8190b7f3bc68bec76349 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b29329d4819095a75a385a02a57a |
completed | May 3, 2026, 8:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38d550f8d0819093961b4b9941a695 |
completed | June 22, 2026, 6:25 a.m. |
| NEDg | Description generation | batch_6a38d631d48c8190ab2ae50a5adebb0f |
completed | June 22, 2026, 6:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a38d6eb323c8190b64ae7388af6fb51 |
completed | June 22, 2026, 6:32 a.m. |
Created at: May 3, 2026, 4:08 p.m.