Triple
T38692805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Jacket Road commercial streetscape |
E949316
|
entity |
| Predicate | hasPrimaryThoroughfare |
P179098
|
FINISHED |
| Object |
Red Jacket Road
Red Jacket Road is a primary thoroughfare that serves as the main commercial corridor within the Red Jacket Road commercial streetscape.
|
E2282430
|
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: Red Jacket Road | Statement: [Red Jacket Road commercial streetscape, hasPrimaryThoroughfare, Red Jacket Road]
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: Red Jacket Road Triple: [Red Jacket Road commercial streetscape, hasPrimaryThoroughfare, Red Jacket Road]
Generated description
Red Jacket Road is a primary thoroughfare that serves as the main commercial corridor within the Red Jacket Road commercial streetscape.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryThoroughfare Context triple: [Red Jacket Road commercial streetscape, hasPrimaryThoroughfare, Red Jacket Road]
-
A.
isThoroughfareFor
Indicates that something serves as a route or passageway used for travel or transportation between places.
-
B.
hasStreet
Indicates that an entity is located on, associated with, or identified by a particular street.
-
C.
isKeyThoroughfareIn
chosen
Indicates that a thoroughfare (such as a road or route) serves as a primary or major access way within a specified area or region.
-
D.
hasMainResidentialStreet
Indicates that an entity is associated with or served by a specific primary street used predominantly for residential purposes.
-
E.
hasSecondaryStreet
Indicates that an entity is associated with an additional, non-primary street address or roadway.
- 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_69f76efe16148190befd5dd59c3dfeaa |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a4215894f6c8190844bc4300c0bdb50 |
completed | June 29, 2026, 6:49 a.m. |
| NEDg | Description generation | batch_6a4217feb9248190a87d2b843b9df562 |
completed | June 29, 2026, 7 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a421877ad7481908bb853a4e03513bd |
completed | June 29, 2026, 7:02 a.m. |
| PD | Predicate disambiguation | batch_6a037a2026248190b894436a578d79ac |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:33 p.m.