Triple
T9650810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northeastern Iranian languages |
E233327
|
entity |
| Predicate | hasLivingLanguage |
P20092
|
FINISHED |
| Object | Yazgulami |
E549726
|
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: Yazgulami | Statement: [Northeastern Iranian languages, hasLivingLanguage, Yazgulami]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yazgulami Context triple: [Northeastern Iranian languages, hasLivingLanguage, Yazgulami]
-
A.
Yazgulyam
chosen
Yazgulyam is a rare and highly conservative Eastern Iranian language spoken in the Yazgulyam Valley of Tajikistan.
-
B.
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.
-
C.
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.
-
D.
Yiğitler
Yiğitler is a small coastal settlement on Avşa Island in Turkey, known for its tranquil beaches and local tourism.
-
E.
Kagizman
Kagizman is a town in eastern Turkey, historically part of the former Kars Oblast in the Caucasus region.
- 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_69ca848b31648190b57aa55da20285be |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9baf9a1c819098c407ea7d42e6d1 |
completed | April 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a03438c8190a3419cbed7af4cd4 |
completed | April 4, 2026, 10 p.m. |
Created at: March 30, 2026, 8:13 p.m.