Triple
T10331631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noyemberyan |
E242887
|
entity |
| Predicate | countryCode |
P208
|
FINISHED |
| Object | AM |
E346642
|
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: AM | Statement: [Noyemberyan, countryCode, AM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AM Context triple: [Noyemberyan, countryCode, AM]
-
A.
AM
AM is the two-letter IATA airline designator used to identify Aeroméxico in global aviation systems.
-
B.
AM
chosen
AM is the two-letter ISO 3166 country code assigned to the Republic of Armenia.
-
C.
AM
AM is a radio broadcasting band used for transmitting audio signals via amplitude modulation, commonly for talk radio and news stations.
-
D.
AM
AM is the regional vehicle registration code used on license plates for the Greek administrative region of Eastern Macedonia and Thrace.
-
E.
AM
AM is a post-nominal title signifying appointment as a Member of the Order of Australia, an honor awarded for significant service to the nation or humanity.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7fcaf4c8190bdcfcb953d88ea2f |
completed | April 7, 2026, 10:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7504d49e88190b2739522f3ead702 |
completed | April 9, 2026, 7:07 a.m. |
Created at: April 6, 2026, 11:52 a.m.