Triple
T8751450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ANLE |
E207967
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | ANLE |
E207967
|
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: ANLE | Statement: [ANLE, acronym, ANLE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ANLE Context triple: [ANLE, acronym, ANLE]
-
A.
ANLE
chosen
ANLE is the North American Academy of the Spanish Language, an institution dedicated to studying, preserving, and promoting the correct use of Spanish in the United States.
-
B.
ANE
ANE is Apple's dedicated on-device neural processing unit designed to accelerate machine learning tasks efficiently on Apple hardware.
-
C.
ANE
ANE is the ICAO airline designator assigned to Iberia Regional, the regional airline brand operated by Air Nostrum in Spain.
-
D.
AN
AN is the standard abbreviation for Anthropology News, a publication focused on current developments, research, and issues in the field of anthropology.
-
E.
AN
AN is the former ISO 3166-1 alpha-2 country code assigned to the now-dissolved Caribbean territory of the Netherlands Antilles.
- 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_69ca835bb2bc819084bb5906cb6ef7f8 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5da774f4819099e5bfd12973d946 |
completed | March 31, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf4326d8cc8190900f5f91da6ef6c8 |
completed | April 3, 2026, 4:33 a.m. |
Created at: March 30, 2026, 6:39 p.m.