Triple
T11160345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lycoming T53 |
E264017
|
entity |
| Predicate | notableVariant |
P4680
|
FINISHED |
| Object | T53-L-703 |
E909197
|
NE FINISHED |
How this triple was built (2 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: T53-L-703 | Statement: [Lycoming T53, notableVariant, T53-L-703]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T53-L-703 Context triple: [Lycoming T53, notableVariant, T53-L-703]
-
A.
T53-L-1
chosen
The T53-L-1 is an early production variant of the Lycoming T53 turboshaft engine, used primarily to power military helicopters.
-
B.
TN-5
TN-5 is the commonly used abbreviation for Tennessee's 5th congressional district, a U.S. House of Representatives district centered around Nashville.
-
C.
A533
The A533 is a primary road in Cheshire, England, that connects several towns and provides regional access routes including to areas like Palacefields.
-
D.
T5
T5 is one of the lines of the Athens tram system, providing light-rail transit service along part of the city’s coastal and urban corridor.
-
E.
T5
T5 is a tram line of the Trambesòs light rail network serving the Barcelona metropolitan area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8817a90819087820d5241c58851 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e496d1ffa48190b29b4d4b71803564 |
completed | April 19, 2026, 8:48 a.m. |
Created at: April 8, 2026, 9:29 p.m.