Triple
T21718244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaddi language |
E536086
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object | Gaddi |
—
|
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: Gaddi | Statement: [Gaddi language, alternateName, Gaddi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaddi Context triple: [Gaddi language, alternateName, Gaddi]
-
A.
Gaddi
chosen
Gaddi is an Indo-Aryan language spoken primarily by the Gaddi people in the Himalayan regions of northern India, especially in Himachal Pradesh.
-
B.
Gaddi
Gaddi is an Italian surname historically associated with notable families, including artists and public figures.
-
C.
Vadtal Gadi
Vadtal Gadi is a major diocesan seat of the Swaminarayan Sampradaya that oversees and administers numerous Swaminarayan temples and religious activities.
-
D.
Janetti
Janetti is the surname of Gary Janetti, an American television writer, producer, and satirist known for his work on shows like "Will & Grace" and "Family Guy."
-
E.
Baratti
Baratti is a coastal area in Tuscany, Italy, known for its scenic gulf, beaches, and proximity to important Etruscan archaeological 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd96cc58081908dda09819041b888 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:47 p.m.