Triple
T12921019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gates of Hell |
E309119
|
entity |
| Predicate | nearSettlement |
P3883
|
FINISHED |
| Object | Derweze |
E1011695
|
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: Derweze | Statement: [Gates of Hell, nearSettlement, Derweze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Derweze Context triple: [Gates of Hell, nearSettlement, Derweze]
-
A.
Derweze
chosen
Derweze is a small village in Turkmenistan’s Karakum Desert best known as the location of the burning natural gas crater nicknamed the “Door to Hell.”
-
B.
Dunetz
Dunetz is the maiden surname of Arlyn Phoenix, the mother of actors River and Joaquin Phoenix.
-
C.
Demerdzhi
Demerdzhi is a notable mountain massif in Crimea, famous for its striking rock formations and scenic landscapes.
-
D.
Ozerki
Ozerki is a locality in Russia historically noted as the site where the revolutionary priest Georgy Gapon was killed.
-
E.
Teberda
Teberda is a small town in the North Caucasus region of Russia, known as a gateway to the surrounding mountains and protected natural areas.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971e7f6e881908c7bb12283898c80 |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbbccbd08190869d8de09797bc6a |
completed | May 3, 2026, 4:14 a.m. |
Created at: April 9, 2026, 5:41 p.m.