Triple
T20200470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Artaxata |
E493203
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Ararat plain |
—
|
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: Ararat plain | Statement: [Artaxata, locatedIn, Ararat plain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ararat plain Context triple: [Artaxata, locatedIn, Ararat plain]
-
A.
Ararat plain
chosen
The Ararat plain is a fertile lowland region in the South Caucasus, lying around Mount Ararat and known as a major agricultural heartland of Armenia and adjacent areas.
-
B.
Mughan plain
The Mughan plain is a vast lowland region in the South Caucasus, spanning parts of present-day Azerbaijan and Iran, historically significant as a strategic and political gathering place.
-
C.
Cilician plain
The Cilician plain is a fertile lowland region in southeastern Turkey, historically significant as a crossroads between Anatolia and the Levant.
-
D.
Erzurum plain
Erzurum plain is a high-altitude plateau in eastern Turkey known for its wide open landscapes, harsh winters, and surrounding mountainous terrain.
-
E.
Shirak Plateau
Shirak Plateau is a highland region in northwestern Armenia characterized by its volcanic landscapes, open grasslands, and significant historical and cultural sites.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d8d01648190b1b3a6e03f0258d8 |
completed | April 20, 2026, 6:16 p.m. |
Created at: April 11, 2026, 11:37 p.m.