Triple
T16804536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germanisches Nationalmuseum |
E408443
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | GNM |
E408443
|
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: GNM | Statement: [Germanisches Nationalmuseum, shortName, GNM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GNM Context triple: [Germanisches Nationalmuseum, shortName, GNM]
-
A.
GNM
chosen
GNM is the abbreviation for the Germanisches Nationalmuseum, a major museum in Nuremberg dedicated to German art and cultural history.
-
B.
GPN
GPN is the stock ticker symbol for Global Payments Inc., a major provider of payment technology and software solutions for businesses worldwide.
-
C.
EGNM
EGNM is the ICAO airport code for Leeds Bradford Airport, a regional international airport serving the cities of Leeds and Bradford in West Yorkshire, England.
-
D.
GNA
GNA is the acronym for the Argentine National Gendarmerie, a federal security force responsible for border protection, rural security, and supporting national law enforcement in Argentina.
-
E.
NMC
NMC is the civic governing body responsible for administering and managing municipal services and infrastructure in the city of Nashik, Maharashtra, India.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2cb68508190a05749bad68f7b43 |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b28d3a808190bc94a4f09a10da7e |
completed | May 10, 2026, 4:30 p.m. |
Created at: April 10, 2026, 5:22 a.m.