Triple
T27161154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varosha (abandoned quarter) |
E682663
|
entity |
| Predicate | yearAbandoned |
P49984
|
FINISHED |
| Object | 1974 |
—
|
LITERAL 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: 1974 | Statement: [Varosha (abandoned quarter), yearAbandoned, 1974]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearAbandoned Context triple: [Varosha (abandoned quarter), yearAbandoned, 1974]
-
A.
dateOfAbandonment
chosen
Indicates the specific date on which something (such as a place, project, or object) was formally or effectively abandoned or discontinued.
-
B.
periodOfAbandonment
Indicates a time span during which something is left unused, unattended, or not maintained.
-
C.
abandonedDuring
Indicates that one entity ceased support for or deserted another entity in the midst of an ongoing process, event, or period.
-
D.
abandonedBefore
Indicates that one entity ceased or gave up on something prior in time to another entity doing so.
-
E.
abandonedIn
Indicates that one entity was left behind or deserted in the location or context specified by another entity.
- F. None of above.
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_69eefacf6e788190a75a64399d9e3109 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f6250b1b248190950a94cd6fe1d479 |
completed | May 2, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 9:18 a.m.