Triple
T15726737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMZ |
E381236
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | BMZ |
E381236
|
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: BMZ | Statement: [BMZ, shortName, BMZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BMZ Context triple: [BMZ, shortName, BMZ]
-
A.
BMZ
BMZ is the station code for Bermondsey Underground station on the Jubilee line of the London Underground.
-
B.
BMZ
chosen
BMZ is the German Federal Ministry responsible for the country's development policy and international development cooperation.
-
C.
BM
BM is the post-nominal abbreviation used to denote recipients of the Bravery Medal, an Australian award for acts of courage.
-
D.
BM
BM is the regional vehicle registration code used on license plates for motor vehicles registered in Pekanbaru, Indonesia.
-
E.
BM
BM is the commonly used abbreviation for the Bank of Mozambique, the central bank responsible for monetary policy and financial regulation in Mozambique.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb357a88190a92641c8a8c20573 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82faa5508190a28e2a224d4a4a06 |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 4:46 a.m.