Triple
T180794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manchester Airport |
E3870
|
entity |
| Predicate | hasICAOcode |
P419
|
FINISHED |
| Object | EGCC |
E3871
|
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: EGCC | Statement: [Manchester Airport, hasICAOcode, EGCC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EGCC Context triple: [Manchester Airport, hasICAOcode, EGCC]
-
A.
EGCC
chosen
EGCC is the ICAO airport code for Manchester Airport, a major international airport in Greater Manchester, England.
-
B.
AGSU
AGSU is the modern U.S. Army service uniform inspired by the World War II-era "pinks and greens" style, worn for everyday professional and ceremonial duties.
-
C.
ECA
The Economic Cooperation Administration (ECA) was the U.S. government agency responsible for administering the Marshall Plan to aid European economic recovery after World War II.
-
D.
ECA
ECA is a regional United Nations commission focused on promoting economic and social development across the African continent.
-
E.
ECU
ECU is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Ecuador in international standards and data systems.
- 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_69a25497e2f08190a040f8c6e1842643 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a25bafd5808190a0a0cb2b21ce007f |
completed | Feb. 28, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2f0b71080819086362f6036b41162 |
completed | Feb. 28, 2026, 1:42 p.m. |
Created at: Feb. 28, 2026, 2:40 a.m.