Triple
T14445118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holy Hill |
E358184
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Святая Гара |
E358183
|
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: Святая Гара | Statement: [Holy Hill, hasNameInLanguage, Святая Гара]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Святая Гара Context triple: [Holy Hill, hasNameInLanguage, Святая Гара]
-
A.
Svyataya Hara
chosen
Svyataya Hara is a hill in Belarus known as the country’s highest natural point, historically regarded as a sacred site.
-
B.
Gharaunda
Gharaunda is a town in the Indian state of Haryana known for its agricultural market and proximity to the historic city of Karnal.
-
C.
Garat
Garat is a French surname most notably borne by Dominique Joseph Garat, an 18th–19th century French journalist, philosopher, and politician.
-
D.
Gabilgathol
Gabilgathol is the Khuzdul name for the great Dwarven city of Belegost in J.R.R. Tolkien’s Middle-earth legendarium.
-
E.
Scala Sancta
Scala Sancta is a revered Christian pilgrimage site in Rome consisting of a set of holy stairs traditionally believed to have been climbed by Jesus during his Passion.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de915e76f481909fe9462f964b5b1c |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd648d8904819084d720a0fd2ddb4b |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:19 a.m.