Triple
T19101384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aragatsotn Province |
E467537
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Aparan |
—
|
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: Aparan | Statement: [Aragatsotn Province, containsSettlement, Aparan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aparan Context triple: [Aragatsotn Province, containsSettlement, Aparan]
-
A.
Aparan
chosen
Aparan is a small town in Armenia’s Aragatsotn Province, known for its proximity to Mount Aragats and its historic churches and monuments.
-
B.
Aparo
Aparo is an Italian surname most notably associated with comic book artist Jim Aparo, known for his work on DC Comics titles such as Batman.
-
C.
Apaharan
Apaharan is a 2005 Hindi political crime drama film directed by Prakash Jha that explores kidnapping, corruption, and power struggles in the Indian state of Bihar.
-
D.
Anpara
Anpara is a town in Uttar Pradesh, India, best known for its large thermal power plant complex and associated industrial activities.
-
E.
Arunan
Arunan is a given name, notably borne by individuals such as Arunan Arulampalam.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e36de7bc8190b353ed59e12e4631 |
completed | April 20, 2026, 8:27 a.m. |
Created at: April 10, 2026, 12:04 p.m.