Triple
T8817058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SR 286 |
E209802
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object |
SR 289
SR 289 is a state highway route, designated with the number 289, that forms part of a regional road network in its jurisdiction.
|
E758407
|
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: SR 289 | Statement: [SR 286, connectsTo, SR 289]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SR 289 Context triple: [SR 286, connectsTo, SR 289]
-
A.
SR 28
SR 28 is a primary state highway in Virginia that serves as a major north–south transportation corridor in the northern part of the state.
-
B.
SR 29
SR 29 is a California state highway that runs through Napa Valley, serving as a major route to the region’s renowned wine country.
-
C.
SR 269
SR 269 is a short state highway in Florida that serves local traffic in the state's northern region.
-
D.
SR 267
SR 267 is a California state highway that connects the Lake Tahoe area near Kings Beach with the town of Truckee, providing access over the Sierra Nevada.
-
E.
SR 299
SR 299 is a major east–west state highway in Northern California that connects the coastal city of Arcata with Redding and other inland communities through mountainous terrain.
- 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: SR 289 Triple: [SR 286, connectsTo, SR 289]
Generated description
SR 289 is a state highway route, designated with the number 289, that forms part of a regional road network in its jurisdiction.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SR 289 Target entity description: SR 289 is a state highway route, designated with the number 289, that forms part of a regional road network in its jurisdiction.
-
A.
SR 28
SR 28 is a primary state highway in Virginia that serves as a major north–south transportation corridor in the northern part of the state.
-
B.
SR 29
SR 29 is a California state highway that runs through Napa Valley, serving as a major route to the region’s renowned wine country.
-
C.
SR 269
SR 269 is a short state highway in Florida that serves local traffic in the state's northern region.
-
D.
SR 267
SR 267 is a California state highway that connects the Lake Tahoe area near Kings Beach with the town of Truckee, providing access over the Sierra Nevada.
-
E.
SR 299
SR 299 is a major east–west state highway in Northern California that connects the coastal city of Arcata with Redding and other inland communities through mountainous terrain.
- 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_69ca8364e13081909c85fe80f44fe86f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc600bd8a88190ad891a96201d796b |
completed | April 1, 2026, midnight |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6fc1579c8190ade0f780183aa1dc |
completed | April 3, 2026, 7:44 a.m. |
| NEDg | Description generation | batch_69cf71aaa4b881908440302910c29248 |
completed | April 3, 2026, 7:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf7288d7748190999aa63bf8faf69f |
completed | April 3, 2026, 7:55 a.m. |
Created at: March 30, 2026, 6:46 p.m.