Triple
T1085324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven Wonders of the Ancient World |
E24036
|
entity |
| Predicate | mostWondersLocatedIn |
P24064
|
FINISHED |
| Object | modern-day Turkey |
—
|
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: modern-day Turkey | Statement: [Seven Wonders of the Ancient World, mostWondersLocatedIn, modern-day Turkey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostWondersLocatedIn Context triple: [Seven Wonders of the Ancient World, mostWondersLocatedIn, modern-day Turkey]
-
A.
countryLocatedIn
Indicates that a country is geographically or politically situated within a specified larger region, territory, or entity.
-
B.
isLocatedOn
Indicates that one entity exists at or is situated upon the surface or area of another entity.
-
C.
countryLocatedOn
Indicates that a country is geographically situated on or within the boundaries of a specified landmass, island, or continent.
-
D.
capitalOfCountryLocatedOn
Indicates that a city serves as the capital of a country that is geographically located on a specified landmass or region.
-
E.
cultLocation
Indicates that a cult or religious group is based in, practices in, or is primarily associated with a particular location.
- F. None of above. chosen
Provenance (4 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_69a49404428c819092dcc9632f5f7b8b |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b961d0cc8190858296b44fab2f32 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b7407914819092ed933a7316b450 |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b8f1097881908932d7eea4331917 |
completed | March 1, 2026, 10:08 p.m. |
Created at: March 1, 2026, 7:42 p.m.