Triple
T32221864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Point Clear, Alabama |
E823087
|
entity |
| Predicate | transportationAccessBy |
P147666
|
FINISHED |
| Object |
U.S. Route 98 (nearby)
U.S. Route 98 is a major east–west U.S. Highway running along the Gulf Coast through multiple Southern states, including Alabama.
|
E1998234
|
NE FINISHED |
How this triple was built (3 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 98 (nearby) | Statement: [Point Clear, Alabama, transportationAccessBy, U.S. Route 98 (nearby)]
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 98 (nearby) Triple: [Point Clear, Alabama, transportationAccessBy, U.S. Route 98 (nearby)]
Generated description
U.S. Route 98 is a major east–west U.S. Highway running along the Gulf Coast through multiple Southern states, including Alabama.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportationAccessBy Context triple: [Point Clear, Alabama, transportationAccessBy, U.S. Route 98 (nearby)]
-
A.
transportModeAccess
Indicates that one entity has the ability or permission to use, reach, or be served by a particular mode of transportation.
-
B.
transportAccessType
chosen
Indicates the type or mode of transportation access available or used in a given context.
-
C.
transportAccessFrom
Indicates that one location or entity has transportation access originating from another specified location or source.
-
D.
transportationAccessPlan
Indicates that there is a planned or defined arrangement for how transportation services or infrastructure will be accessed or used.
-
E.
hasTransitAccessTo
Indicates that one place or entity is reachable from another via public or shared transportation services.
- F. None of above.
Provenance (6 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_69f3490b4f948190b99e4f999f5be25f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe91383a1c81909266e40c3c3ede6c |
completed | May 9, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2f3ba19d808190b6fbe06ef79e84e9 |
completed | June 14, 2026, 11:39 p.m. |
| NEDg | Description generation | batch_6a2f3c35079c8190a9b5d359d16cfd8b |
completed | June 14, 2026, 11:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2f41a090a08190ae41dff8c3b1a4a6 |
completed | June 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69fe8fde094081908f0f121664fbb5c7 |
completed | May 9, 2026, 1:37 a.m. |
Created at: May 1, 2026, 12:38 a.m.