Triple
T14183704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EFM |
E351521
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | EFM |
E351521
|
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: EFM | Statement: [EFM, abbreviation, EFM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EFM Context triple: [EFM, abbreviation, EFM]
-
A.
EFM
chosen
EFM is a major international film industry marketplace held annually alongside the Berlin International Film Festival, where producers, distributors, and buyers trade and promote films and audiovisual content.
-
B.
EFM
EFM (Ethernet in the First Mile) is a networking standard that extends Ethernet technology to connect service providers to customer premises over the access network.
-
C.
FEF
FEF is the commonly used abbreviation for the Ecuadorian Football Federation, the governing body of football in Ecuador.
-
D.
FFM
FFM is an abbreviation commonly used for the Montreal World Film Festival, an international film festival held annually in Montreal, Canada.
-
E.
NFM
NFM is a large American home furnishings retailer best known for its massive Nebraska Furniture Mart stores offering furniture, appliances, electronics, and home décor.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61cc0a848190b660095972b1223b |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf81285c481908a5594bcb3304981 |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 10, 2026, 1:03 a.m.