Triple
T8688224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Der Club |
E206218
|
entity |
| Predicate | associatedWithAbbreviation |
P8075
|
FINISHED |
| Object | 1. FCN |
E206219
|
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: 1. FCN | Statement: [Der Club, associatedWithAbbreviation, 1. FCN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 1. FCN Context triple: [Der Club, associatedWithAbbreviation, 1. FCN]
-
A.
FCN
chosen
FCN is the common abbreviation for 1. FC Nürnberg, a German football club based in Nuremberg.
-
B.
FNC
FNC is the IATA airport code for Cristiano Ronaldo Madeira International Airport, the main air gateway to Portugal’s Madeira Island.
-
C.
ResNet
ResNet is a deep convolutional neural network architecture known for its use of residual connections to enable very deep models and achieve state-of-the-art performance in image recognition tasks.
-
D.
FCD
FCD is the commonly used abbreviation for FC Dordrecht, a professional football club based in Dordrecht, Netherlands.
-
E.
Farama Foundation
The Farama Foundation is an organization that develops and maintains open-source reinforcement learning tools and libraries for the research and engineering community.
- 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_69ca835481fc819084e33d3bc883bfa6 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5731cf08819082e0cbe0975b70bb |
completed | March 31, 2026, 11:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf288acb348190829e149a9089a0a1 |
completed | April 3, 2026, 2:40 a.m. |
Created at: March 30, 2026, 6:33 p.m.