Triple
T18623475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maspeth |
E455214
|
entity |
| Predicate | servedByBusRoute |
P14525
|
FINISHED |
| Object |
Q101
Q101 is a New York City bus route that provides public transit service connecting the neighborhood of Maspeth in Queens with other parts of the borough.
|
E1334246
|
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: Q101 | Statement: [Maspeth, servedByBusRoute, Q101]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Q101 Context triple: [Maspeth, servedByBusRoute, Q101]
-
A.
HQ10
HQ10 is a television production studio facility that forms part of Dock10’s media and broadcast complex in Salford, UK.
-
B.
S-101
S-101 is the International Hydrographic Organization’s modern electronic navigational chart standard designed to support next-generation marine navigation systems.
-
C.
Newstalk 1010
Newstalk 1010 is a Toronto-based AM radio station known for its news, talk shows, and current affairs programming.
-
D.
QM10
QM10 is a New York City express bus route that provides commuter service between Queens and Manhattan.
-
E.
KQET
KQET is a public television station in California that serves as a satellite outlet for San Francisco’s KQED, extending its PBS and educational programming to a wider regional audience.
- 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: Q101 Triple: [Maspeth, servedByBusRoute, Q101]
Generated description
Q101 is a New York City bus route that provides public transit service connecting the neighborhood of Maspeth in Queens with other parts of the borough.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Q101 Target entity description: Q101 is a New York City bus route that provides public transit service connecting the neighborhood of Maspeth in Queens with other parts of the borough.
-
A.
HQ10
HQ10 is a television production studio facility that forms part of Dock10’s media and broadcast complex in Salford, UK.
-
B.
S-101
S-101 is the International Hydrographic Organization’s modern electronic navigational chart standard designed to support next-generation marine navigation systems.
-
C.
Newstalk 1010
Newstalk 1010 is a Toronto-based AM radio station known for its news, talk shows, and current affairs programming.
-
D.
QM10
QM10 is a New York City express bus route that provides commuter service between Queens and Manhattan.
-
E.
KQET
KQET is a public television station in California that serves as a satellite outlet for San Francisco’s KQED, extending its PBS and educational programming to a wider regional audience.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f02dc248190a82341eeb2473593 |
completed | April 19, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a050d78359c8190bba366871b5ef4e4 |
completed | May 13, 2026, 11:47 p.m. |
| NEDg | Description generation | batch_6a050e224e4881908ad55301bda567dc |
completed | May 13, 2026, 11:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a050ecc33e48190bc28430a6a771492 |
completed | May 13, 2026, 11:52 p.m. |
Created at: April 10, 2026, 11:46 a.m.