Triple
T16297214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marylebone |
E395679
|
entity |
| Predicate | locatedInTimeZone |
P109
|
FINISHED |
| Object | GMT |
E3380
|
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: GMT | Statement: [Marylebone, locatedInTimeZone, GMT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GMT Context triple: [Marylebone, locatedInTimeZone, GMT]
-
A.
GMT
GMT is a hard rock supergroup featuring Irish vocalist Robin McAuley alongside other veteran rock musicians.
-
B.
GMT
chosen
GMT (Greenwich Mean Time) is the mean solar time at the Royal Observatory in Greenwich, London, historically used as the international civil time standard and the basis for modern time zones.
-
C.
GMT
GMT is the public transit agency serving the Burlington, Vermont region and surrounding areas with bus and commuter services.
-
D.
UTC
UTC is a public university located in Chattanooga, Tennessee, known for its programs in engineering, business, and the liberal arts.
-
E.
GMT360
GMT360 is General Motors' mid-size SUV platform used in the early 2000s for body-on-frame sport utility vehicles across several of its brands.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e2f486c8190b73c15f59335cde2 |
completed | April 17, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f9b42248190a3c8c2647a42aeb9 |
completed | May 10, 2026, 6:03 a.m. |
Created at: April 10, 2026, 5:06 a.m.