Triple
T19140774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ETOU |
E468549
|
entity |
| Predicate | hasICAOCode |
P419
|
FINISHED |
| Object | ETOU |
—
|
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: ETOU | Statement: [ETOU, hasICAOCode, ETOU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ETOU Context triple: [ETOU, hasICAOCode, ETOU]
-
A.
ETOU
chosen
ETOU is the ICAO airport code for Wiesbaden Army Airfield, a U.S. military airbase located near Wiesbaden, Germany.
-
B.
ETU
ETU is the commonly used abbreviation for Erzurum Technical University, a public higher education institution located in Erzurum, Turkey.
-
C.
ETB
ETB is the three-letter international currency code used to represent the Ethiopian birr in global financial and foreign exchange contexts.
-
D.
ETO
ETO is the stock ticker symbol for Entertainment One, a media and entertainment company known for producing and distributing film, television, and family programming.
-
E.
ETO
ETO refers to the European Theater of Operations, the major area of military conflict in Europe during World War II involving the Allied and Axis powers.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3f094f88190996279d7b548edea |
completed | April 20, 2026, 8:29 a.m. |
Created at: April 10, 2026, 12:05 p.m.