Triple
T17364308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talysh Mountains |
E422147
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Masalli |
—
|
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: Masalli | Statement: [Talysh Mountains, nearbyCity, Masalli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Masalli Context triple: [Talysh Mountains, nearbyCity, Masalli]
-
A.
Masalli
chosen
Masalli is a city in southeastern Azerbaijan known for its lush subtropical landscapes, hot springs, and role as a regional agricultural and trade center.
-
B.
Masuleh
Masuleh is a historic stepped village in northern Iran renowned for its terraced architecture built into the mountainside and its scenic foggy landscapes.
-
C.
Bilma
Bilma is an oasis town in northeastern Niger, historically significant as a key stop on trans-Saharan trade routes and known for its traditional salt production.
-
D.
Miyaneh
Miyaneh is a city in East Azerbaijan Province in northwestern Iran, known as a regional agricultural and transportation hub.
-
E.
Quba
Quba is a historic city in northeastern Azerbaijan known for its traditional carpet weaving, scenic mountain setting, and cultural significance in the Quba region.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4f52988190847230e119a35b87 |
completed | April 19, 2026, 2:13 a.m. |
Created at: April 10, 2026, 5:44 a.m.