Triple
T7333618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iran Daylight Time |
E169067
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | IRDT |
E187911
|
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: IRDT | Statement: [Iran Daylight Time, abbreviation, IRDT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IRDT Context triple: [Iran Daylight Time, abbreviation, IRDT]
-
A.
IRDT
chosen
IRDT is the daylight saving time observed in Iran, advancing clocks one hour ahead of Iran Standard Time.
-
B.
IRT
IRT is a major division of the New York City Subway system that operates the numbered (1–7) train lines, originally built by the Interborough Rapid Transit Company.
-
C.
IR
IR is the IATA airline designator assigned to Iran Air, the national flag carrier of Iran.
-
D.
IR
IR is the branding abbreviation used for InterRegio, a category of medium- to long-distance passenger trains operating in several European countries.
-
E.
IDEP
IDEP is a regional training and research institute under the United Nations Economic Commission for Africa that focuses on economic development and planning in African countries.
- 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_69c68a568a6481908f11e20db7bc8446 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0c25758819095aa5041c6ecff07 |
completed | March 27, 2026, 9:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ef1ac84c819095f03cf731f11c01 |
completed | March 28, 2026, 3:09 p.m. |
Created at: March 27, 2026, 3:04 p.m.