Triple
T23150710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mandisha |
E578313
|
entity |
| Predicate | locatedInTimeZone |
P109
|
FINISHED |
| Object | Africa/Cairo |
—
|
NE NERFINISHED |
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: Africa/Cairo | Statement: [Mandisha, locatedInTimeZone, Africa/Cairo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Africa/Cairo Context triple: [Mandisha, locatedInTimeZone, Africa/Cairo]
-
A.
Africa/Cairo
chosen
Africa/Cairo is the time zone corresponding to Eastern European Time (UTC+2) used primarily in Egypt, including its capital, Cairo.
-
B.
Tanta
Tanta is a small Andean town in Peru known for its high-altitude landscapes and traditional rural life within the Nor Yauyos-Cochas scenic reserve.
-
C.
Tanta
Tanta is a major city in northern Egypt that serves as an important commercial and transportation hub in the Nile Delta.
-
D.
AFRIQIYAH
AFRIQIYAH is the radio callsign used by Afriqiyah Airways, the state-owned flag carrier airline of Libya.
-
E.
Africa/Casablanca
Africa/Casablanca is the IANA time zone identifier corresponding to the standard time observed in Casablanca, Morocco.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ed1a258819091ce86dbd1c51e46 |
completed | April 29, 2026, 4:53 a.m. |
Created at: April 17, 2026, 4:01 p.m.