Triple
T23073581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malgobek |
E575262
|
entity |
| Predicate | roadConnectionTo |
P9041
|
FINISHED |
| Object | Nazran |
—
|
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: Nazran | Statement: [Malgobek, roadConnectionTo, Nazran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nazran Context triple: [Malgobek, roadConnectionTo, Nazran]
-
A.
Nazran
chosen
Nazran is a town in the Republic of Ingushetia in southwestern Russia, historically one of the region’s main population centers and transport hubs.
-
B.
Zaran
Zaran is a Marvel Comics mercenary and martial arts master, often depicted as a skilled assassin and frequent adversary of superheroes like Captain America.
-
C.
Ranon
Ranon is a small village located on Ambrym Island in the archipelago nation of Vanuatu in the South Pacific.
-
D.
Rasual
Rasual is the given name of Rasual Butler, an American professional basketball player who competed in the NBA.
-
E.
Nazar
Nazar is an Indian art-house film directed by acclaimed filmmaker Mani Kaul, known for its experimental narrative style and visual minimalism.
- 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c61bb7c8190a3d9b1fba173cdff |
completed | April 29, 2026, 4:43 a.m. |
Created at: April 17, 2026, 3:56 p.m.