Triple
T10480461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BNRM |
E247155
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | BNRM |
E247155
|
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: BNRM | Statement: [BNRM, shortName, BNRM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BNRM Context triple: [BNRM, shortName, BNRM]
-
A.
BNRM
chosen
BNRM is the National Library of the Kingdom of Morocco, serving as the country’s main institution for preserving and providing access to its written and documentary heritage.
-
B.
BRN
BRN is the IATA airport code for Bern Airport, the primary airport serving Switzerland’s capital city.
-
C.
BN3
BN3 is a UK postal district covering the Hove area and parts of Brighton in East Sussex.
-
D.
Brn
Brn is the station code used to identify Baarn railway station in the Netherlands’ rail network.
-
E.
BN
BN is the vehicle registration code used on license plates for the German city of Bonn.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5095b2ec881909e1220d83e750a75 |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8a02aa2748190902f5c08afd7dda9 |
completed | April 10, 2026, 7 a.m. |
Created at: April 6, 2026, 12:22 p.m.