Triple
T15895333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beş Şehir |
E385438
|
entity |
| Predicate | numberOfCitiesDiscussed |
P101584
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Beş Şehir, numberOfCitiesDiscussed, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCitiesDiscussed Context triple: [Beş Şehir, numberOfCitiesDiscussed, 5]
-
A.
numberOfHostCities
Indicates the count of distinct cities that have hosted or will host a particular event or activity.
-
B.
numberOfParticipatingCities
Indicates the total count of cities that take part in a specified event, program, or activity.
-
C.
gatheredCities
Indicates that one entity collected or assembled multiple cities together, typically into a group, list, or shared context.
-
D.
mainCities
Indicates that the related entities are the primary or most important cities associated with a given region, country, or area.
-
E.
hasNumberOfComponentCities
chosen
Indicates the relationship that specifies how many component cities are contained within or associated with a given 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142ca3b208190946c3aa4c1e6087c |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:51 a.m.