Triple
T17233237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugar Creek station |
E418297
|
entity |
| Predicate | publicTransportSystem |
P1288
|
FINISHED |
| Object |
LYNX
LYNX is the public transit system serving the Charlotte, North Carolina metropolitan area, operating buses, light rail, and other transportation services.
|
E1259552
|
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: LYNX | Statement: [Sugar Creek station, publicTransportSystem, LYNX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LYNX Context triple: [Sugar Creek station, publicTransportSystem, LYNX]
-
A.
LYNX
LYNX is a public bus transportation system serving the Orlando, Florida metropolitan area.
-
B.
Lynx Wildcat
The Lynx Wildcat is a modern British multi-role military helicopter used primarily by the Royal Navy and Army Air Corps for reconnaissance, attack, and maritime operations.
-
C.
Lynx
Lynx is a high-speed serial computer bus interface standard, better known as IEEE 1394 or FireWire, used for real-time data transfer between digital devices.
-
D.
Lynx
Lynx is a faint, northern constellation introduced by Johannes Hevelius, located between Ursa Major and Auriga in the night sky.
-
E.
Lynx
Lynx is a popular men’s grooming brand, known as Axe in many countries, offering deodorants, body sprays, and related personal care products.
- 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: LYNX Triple: [Sugar Creek station, publicTransportSystem, LYNX]
Generated description
LYNX is the public transit system serving the Charlotte, North Carolina metropolitan area, operating buses, light rail, and other transportation services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LYNX Target entity description: LYNX is the public transit system serving the Charlotte, North Carolina metropolitan area, operating buses, light rail, and other transportation services.
-
A.
LYNX
LYNX is a public bus transportation system serving the Orlando, Florida metropolitan area.
-
B.
Lynx Wildcat
The Lynx Wildcat is a modern British multi-role military helicopter used primarily by the Royal Navy and Army Air Corps for reconnaissance, attack, and maritime operations.
-
C.
Lynx
Lynx is a high-speed serial computer bus interface standard, better known as IEEE 1394 or FireWire, used for real-time data transfer between digital devices.
-
D.
Lynx
Lynx is a faint, northern constellation introduced by Johannes Hevelius, located between Ursa Major and Auriga in the night sky.
-
E.
Lynx
Lynx is a genus of medium-sized wild cats known for their tufted ears, short tails, and adaptation to forested and cold environments across the Northern Hemisphere.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42df9558481909e2e50ae0b02acf7 |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170ef3110819097ac1346ae33ef94 |
completed | May 11, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_6a017351db88819097bfbec41920a488 |
completed | May 11, 2026, 6:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0175f8c7d48190896f375385829a34 |
completed | May 11, 2026, 6:23 a.m. |
Created at: April 10, 2026, 5:39 a.m.