Triple
T29062880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Sion Church |
E735586
|
entity |
| Predicate | locatedInValleyOrPlain |
P201404
|
FINISHED |
| Object | Ararat plain region (broadly) |
—
|
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: Ararat plain region (broadly) | Statement: [Saint Sion Church, locatedInValleyOrPlain, Ararat plain region (broadly)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInValleyOrPlain Context triple: [Saint Sion Church, locatedInValleyOrPlain, Ararat plain region (broadly)]
-
A.
valleyLocation
Indicates that one entity is located in, at, or within the geographic bounds of a valley relative to another entity or context.
-
B.
locatedInRiverValley
Indicates that something is situated within the geographical area of a river valley.
-
C.
locatedInRiverPlain
Indicates that something is situated within the flat, low-lying area formed by a river’s floodplain.
-
D.
isInValleyOrMountainRegion
Indicates that an entity is located within either a valley area or a mountainous region.
-
E.
locatedInHills
Indicates that something is situated within or among hilly terrain or a region characterized by hills.
- 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_69f077e85498819088b65186550da8cd |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fff328ddc0819080642334a41fcf95 |
completed | May 10, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69fff2e0971c819081aa66f4a6a34b28 |
completed | May 10, 2026, 2:52 a.m. |
| PDg | Predicate description generation | batch_69fff327d7788190a41ea5cbae060177 |
completed | May 10, 2026, 2:53 a.m. |
Created at: April 28, 2026, 10:16 a.m.