Triple
T20871582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jahorina |
E513904
|
entity |
| Predicate | nearbyMountain |
P10602
|
FINISHED |
| Object | Igman |
—
|
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: Igman | Statement: [Jahorina, nearbyMountain, Igman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Igman Context triple: [Jahorina, nearbyMountain, Igman]
-
A.
Igman
chosen
Igman is a mountain in central Bosnia and Herzegovina known for its forests, ski facilities, and role as a key venue during the 1984 Winter Olympics near Sarajevo.
-
B.
Kopaska
Kopaska is the Indonesian Navy’s elite frogman and special operations unit, specializing in underwater demolition, maritime sabotage, and counter-terrorism missions.
-
C.
Veliki Borak
Veliki Borak is a village located within the Barajevo municipality in the wider Belgrade region of Serbia.
-
D.
Ijemo
Ijemo is a neighborhood and traditional community within the city of Abeokuta in Ogun State, southwestern Nigeria.
-
E.
Oreshak
Oreshak is a village in central Bulgaria known for its proximity to the historic Troyan Monastery and its traditional crafts and cultural heritage.
- 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_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c4649cf88190b3ad946576aa46aa |
completed | April 21, 2026, 12:27 a.m. |
Created at: April 16, 2026, 12:45 p.m.