Triple
T17098390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chitrali |
E414909
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Arniya |
E409904
|
NE 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: Arniya | Statement: [Chitrali, hasAlternativeName, Arniya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arniya Context triple: [Chitrali, hasAlternativeName, Arniya]
-
A.
Arniya
chosen
Arniya is an alternative name for the Khowar language, an Indo-Aryan language spoken primarily in the Chitral region of northern Pakistan.
-
B.
Arni
Arni is a town in Tamil Nadu, India, historically notable as the site of the Battle of Arni during the Second Carnatic War.
-
C.
Arni
Arni is a town in the Yavatmal district of Maharashtra, India, known for its regional markets and agricultural surroundings.
-
D.
Arnara
Arnara is a small municipality in the Lazio region of central Italy, located in the province of Frosinone.
-
E.
Ariany
Ariany is a small rural town on the Spanish island of Mallorca, known for its traditional Mallorcan character and agricultural surroundings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbffafb08190baf9e0b4fdf1b404 |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012eefd5f08190b9eb8a81e45a9921 |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:35 a.m.