Triple
T22241199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yazgulyam |
E549726
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Yazgulami |
—
|
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: Yazgulami | Statement: [Yazgulyam, hasAlternativeName, Yazgulami]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yazgulami Context triple: [Yazgulyam, hasAlternativeName, Yazgulami]
-
A.
Yazgulyam
chosen
Yazgulyam is a rare and highly conservative Eastern Iranian language spoken in the Yazgulyam Valley of Tajikistan.
-
B.
Üsteğmen
Üsteğmen is a Turkish Armed Forces junior officer rank equivalent to a first lieutenant in many NATO militaries.
-
C.
Yalamlam
Yalamlam is a mountainous area in western Saudi Arabia that serves as one of the designated entry points (miqats) where pilgrims intending Hajj or Umrah enter the state of ihram.
-
D.
Multazam
Multazam is the small sacred area between the Black Stone and the door of the Kaaba where pilgrims supplicate, believing prayers there are especially accepted.
-
E.
Yuzzum
Yuzzum are furry, long-limbed, round-bodied sentient creatures from the Star Wars universe known for their high-pitched voices and appearances on the forest moon of Endor.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f132140ed481909ab0d4022756a4ba |
completed | April 28, 2026, 10:17 p.m. |
Created at: April 16, 2026, 8:38 p.m.