Triple
T5823753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EMP Museum |
E129170
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | EMP |
E210159
|
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: EMP | Statement: [EMP Museum, abbreviation, EMP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EMP Context triple: [EMP Museum, abbreviation, EMP]
-
A.
EMP
chosen
EMP is a Seattle-based museum and cultural institution (now called the Museum of Pop Culture) dedicated to contemporary popular music, science fiction, and pop culture.
-
B.
ERM
ERM is a European Union system designed to reduce exchange rate variability and achieve monetary stability in preparation for economic and monetary union.
-
C.
ERM
ERM is the French-language abbreviation for Belgium’s Royal Military Academy, the country’s principal institution for training future officers of the armed forces.
-
D.
DG EMPL
DG EMPL is the European Commission department responsible for EU policies on employment, social affairs, skills, labour mobility, and social inclusion.
-
E.
HR
HR is the official vehicle registration code used on license plates for motor vehicles registered in the Indian state of Haryana.
- 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_69c0084869e881908d7859492183ca7b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03418d410819092b6f5f6db45ed39 |
completed | March 22, 2026, 6:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0985ab01c8190ac03cb95427c688d |
completed | March 23, 2026, 1:33 a.m. |
Created at: March 22, 2026, 3:53 p.m.