Triple
T22491044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Selección |
E556018
|
entity |
| Predicate | FIFAcode |
P6278
|
FINISHED |
| Object | ESP |
—
|
NE NERFINISHED |
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: ESP | Statement: [La Selección, FIFAcode, ESP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ESP Context triple: [La Selección, FIFAcode, ESP]
-
A.
ESP
chosen
ESP is the three-letter FIFA country code used to represent the Spain national football team in international competitions and official records.
-
B.
ESP
ESP (extrasensory perception) is the purported ability to gain information through means beyond the known physical senses, such as telepathy, clairvoyance, or precognition.
-
C.
ESP
ESP is the abbreviated name for Easy Software Products, a company known for developing printing and publishing software such as the Common UNIX Printing System (CUPS).
-
D.
ESP
ESP (Electronic Stability Program) is an active safety system in vehicles that helps maintain stability and prevent skidding by automatically adjusting braking and engine power.
-
E.
ESP
ESP is a renowned Japanese guitar manufacturer known for its high-quality electric guitars and basses favored by many metal and rock musicians.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c40930c81908310ac6afd98c62e |
completed | April 29, 2026, 1:17 a.m. |
Created at: April 16, 2026, 8:49 p.m.