Triple
T9245269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida State Road 7 |
E222176
|
entity |
| Predicate | sharesAlignmentWith |
P87762
|
FINISHED |
| Object | U.S. Route 441 |
—
|
NE NERFINISHED |
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 441 | Statement: [Florida State Road 7, sharesAlignmentWith, U.S. Route 441]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesAlignmentWith Context triple: [Florida State Road 7, sharesAlignmentWith, U.S. Route 441]
-
A.
sharesOwnershipWith
Indicates that two or more entities jointly hold ownership rights or stakes in the same asset, resource, or organization.
-
B.
sharesFieldWith
Indicates that two entities are involved in or associated with the same field, discipline, or area of specialization.
-
C.
sharesAppearanceTraitWith
Indicates that two entities possess at least one similar or matching visual or appearance-related characteristic.
-
D.
sharesSignsWith
Indicates that two entities exhibit the same or overlapping signs, symptoms, or observable indicators.
-
E.
sharesCharacterWith
Indicates that two entities have at least one character (such as a letter, symbol, or glyph) in common.
- F. None of above. chosen
Provenance (4 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_69ca841d2b18819089f9faf5b2c2aec0 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd03efaa748190973916bd790f6e3a |
completed | April 1, 2026, 11:39 a.m. |
| PD | Predicate disambiguation | batch_69cc7a4765648190aa9445c4a22dc471 |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc95597be081908ece2491dd2f0f74 |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:30 p.m.