Triple
T13143909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EFE Trenes de Chile |
E312285
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | EFE |
E1025046
|
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: EFE | Statement: [EFE Trenes de Chile, abbreviation, EFE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EFE Context triple: [EFE Trenes de Chile, abbreviation, EFE]
-
A.
EFE
chosen
EFE is Chile’s state-owned railway company responsible for operating and managing much of the country’s passenger and freight rail network.
-
B.
Efejoku
Efejoku is a popular Nigerian street-hop song by rapper Lil Kesh, known for its energetic beat and club-friendly vibe.
-
C.
Meduza
Meduza is an Italian electronic music production trio best known for their chart-topping house tracks like "Piece of Your Heart" and "Lose Control."
-
D.
EDFE
EDFE is the ICAO airport code for Frankfurt Egelsbach Airport, a general aviation airfield near Frankfurt, Germany.
-
E.
EFRO
EFRO is the ICAO airport code for Rovaniemi Air Base in Finland, which serves both military and civilian air traffic near the Arctic Circle.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bce3678819082a7aa1d83f20592 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a2894848190b5853127ef04932c |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:10 p.m.