Triple
T2646209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clock Tower of Izmir |
E62989
|
entity |
| Predicate | locatedInTimeZone |
P109
|
FINISHED |
| Object | TRT |
E30277
|
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: TRT | Statement: [Clock Tower of Izmir, locatedInTimeZone, TRT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TRT Context triple: [Clock Tower of Izmir, locatedInTimeZone, TRT]
-
A.
TRT
chosen
TRT is the time zone used in Turkey, corresponding to UTC+3.
-
B.
TR
TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
-
C.
SRT
SRT was the former name of Toronto’s Line 3 Scarborough, an elevated light rapid transit line that operated in the city’s eastern suburbs.
-
D.
TRC
TRC is the premier annual international rugby union competition in the Southern Hemisphere, contested by Argentina, Australia, New Zealand, and South Africa.
-
E.
RTM
RTM is the commonly used abbreviation for Rosetta Terminology Mapping, a system for standardizing and aligning terminology across different datasets or domains.
- 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd91846b4819093a063c15e1ee6af |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa050cc408190b2fa81a0f2da06eb |
completed | March 10, 2026, 4:38 a.m. |
Created at: March 6, 2026, 9:53 p.m.