Triple
T5528533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EFL |
E144987
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | EFL |
E144987
|
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: EFL | Statement: [EFL, shortName, EFL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EFL Context triple: [EFL, shortName, EFL]
-
A.
EFL
chosen
EFL is a professional football league system in England that organizes and oversees the three divisions below the Premier League.
-
B.
EFLP
EFLP is the ICAO airport code for Lappeenranta Airport in Lappeenranta, Finland.
-
C.
ELT
ELT is a next-generation ground-based optical and infrared telescope being built by the European Southern Observatory to become the world’s largest and most powerful visible-light telescope.
-
D.
ELC
ELC is the regional vehicle registration code assigned to the area that includes the village of Walewice in Poland.
-
E.
English for Speakers of Other Languages
English for Speakers of Other Languages is an educational program designed to help non-native English speakers develop the language skills needed for academic success and everyday communication.
- 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_69c008f9955881909bfa8348b56b4739 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f8b6c348190b7d414dc1907d09a |
completed | March 22, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027fe1c508190b95b7b5bda96a32d |
completed | March 22, 2026, 5:33 p.m. |
Created at: March 22, 2026, 3:34 p.m.