Triple
T6739700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MEA Cargo |
E154043
|
entity |
| Predicate | associatedWithICAOCode |
P419
|
FINISHED |
| Object | MEA |
E174887
|
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: MEA | Statement: [MEA Cargo, associatedWithICAOCode, MEA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MEA Context triple: [MEA Cargo, associatedWithICAOCode, MEA]
-
A.
MEA
chosen
MEA is the ICAO airline designator for Middle East Airlines, the flag carrier of Lebanon.
-
B.
MEA
MEA is India’s Ministry of External Affairs, the government body responsible for managing the country’s foreign relations and diplomacy.
-
C.
ME
ME is the official two-letter United States Postal Service abbreviation for the state of Maine.
-
D.
ME
ME is the two-letter ISO 3166-1 alpha-2 country code assigned to Montenegro.
-
E.
MEI
MEI is a climate index that quantifies the strength and phase of the El Niño–Southern Oscillation by combining multiple atmospheric and oceanic variables over the tropical Pacific.
- 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_69c6880d84d8819095d19de2295f26ac |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d187c8788190b9fc1ebc9a66a520 |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b0db3f481909b5281c63cc32dd1 |
completed | March 27, 2026, 10:56 p.m. |
Created at: March 27, 2026, 2:10 p.m.