Triple
T18940449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Q (New York City Subway service) |
E463365
|
entity |
| Predicate | historicalPredecessor |
P97
|
FINISHED |
| Object |
QJ
QJ was a former New York City Subway service that operated in Brooklyn and Queens before being discontinued and replaced by later route designations.
|
E1351380
|
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: QJ | Statement: [Q (New York City Subway service), historicalPredecessor, QJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: QJ Context triple: [Q (New York City Subway service), historicalPredecessor, QJ]
-
A.
QNJ
QNJ is the IATA airport code for Annemasse Aerodrome, a small regional airfield serving the Annemasse area in southeastern France near the Swiss border.
-
B.
JQF
JQF is the FAA airport code for Concord-Padgett Regional Airport, a public airport serving Concord, North Carolina.
-
C.
JRQ
JRQ is the abbreviation for Kyushu Railway Company, a major Japanese railway operator serving the Kyushu region.
-
D.
QK
QK is the former IATA airline designator once assigned to Eastern Provincial Airways, a regional carrier in Canada.
-
E.
KQ
KQ is the IATA airline designator for Kenya Airways, the flag carrier of Kenya.
- 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: QJ Triple: [Q (New York City Subway service), historicalPredecessor, QJ]
Generated description
QJ was a former New York City Subway service that operated in Brooklyn and Queens before being discontinued and replaced by later route designations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: QJ Target entity description: QJ was a former New York City Subway service that operated in Brooklyn and Queens before being discontinued and replaced by later route designations.
-
A.
QNJ
QNJ is the IATA airport code for Annemasse Aerodrome, a small regional airfield serving the Annemasse area in southeastern France near the Swiss border.
-
B.
JQF
JQF is the FAA airport code for Concord-Padgett Regional Airport, a public airport serving Concord, North Carolina.
-
C.
JRQ
JRQ is the abbreviation for Kyushu Railway Company, a major Japanese railway operator serving the Kyushu region.
-
D.
QK
QK is the former IATA airline designator once assigned to Eastern Provincial Airways, a regional carrier in Canada.
-
E.
KQ
KQ is the IATA airline designator for Kenya Airways, the flag carrier of Kenya.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3eae9b88190b6031c359090782a |
completed | April 20, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a059fc689948190891e12aab00dd7a0 |
completed | May 14, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_6a05a2dc392c819094ba4480b5239512 |
completed | May 14, 2026, 10:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05a3454e088190a983557999209ad1 |
completed | May 14, 2026, 10:26 a.m. |
Created at: April 10, 2026, 11:59 a.m.