Triple
T22654645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ljabru tram stop |
E559191
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Ljabru |
—
|
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: Ljabru | Statement: [Ljabru tram stop, locatedIn, Ljabru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ljabru Context triple: [Ljabru tram stop, locatedIn, Ljabru]
-
A.
Ljabru
chosen
Ljabru is a neighborhood in Oslo, Norway, known as the southeastern terminus of one of the city’s tram lines.
-
B.
Jelbi
Jelbi is a mobility app by Berlin’s public transport operator that integrates various transport options like buses, trains, bikes, and scooters into a single platform for planning and booking trips.
-
C.
Lyova
Lyova is a Russian diminutive form of the male given name Lev.
-
D.
Jebali
Jebali is a Tunisian surname most notably associated with politician and former Prime Minister Hamadi Jebali.
-
E.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
- 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765a97ac819095f21ccbdada1d0a |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 3:06 p.m.