Triple
T19581408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EEPU |
E489993
|
entity |
| Predicate | hasIcaoCode |
P419
|
FINISHED |
| Object | EEPU |
—
|
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: EEPU | Statement: [EEPU, hasIcaoCode, EEPU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EEPU Context triple: [EEPU, hasIcaoCode, EEPU]
-
A.
EEPU
chosen
EEPU is the ICAO airport code for the Port of Tallinn’s associated airfield in Estonia.
-
B.
EPU
EPU is the three-letter station code used by Transport for London to identify East Putney tube station on the London Underground network.
-
C.
UEEE
UEEE is the ICAO airport code for Yakutsk Airport, a major air transport hub in the Sakha Republic of Russia.
-
D.
EPE
EPE is a major expressway in India that serves as a peripheral bypass around Delhi to reduce traffic congestion and pollution in the National Capital Region.
-
E.
EEUM
EEUM is the engineering school of the University of Minho in Portugal, offering education and research across multiple engineering disciplines.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e640281b7c8190be44268a58df058f |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:42 p.m.