Triple
T1228609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ASALE |
E26384
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | ASALE |
E26384
|
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: ASALE | Statement: [ASALE, acronym, ASALE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ASALE Context triple: [ASALE, acronym, ASALE]
-
A.
ASALE
chosen
ASALE is the acronym for the Association of Academies of the Spanish Language, the international body that coordinates the work of Spanish language academies across the Spanish-speaking world.
-
B.
SAU
SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
-
C.
SA3
SA3 is the 3GPP security working group responsible for specifying and evolving security architecture and mechanisms across mobile communication standards.
-
D.
SA6
SA6 is a 3GPP working group responsible for standardizing mission-critical and application-layer services in mobile communication systems.
-
E.
SA5
SA5 is the 3GPP Service and System Aspects working group responsible for management, orchestration, and operations of mobile communication networks.
- 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be3c5d4c819087f9e9e37204c3be |
completed | March 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8a1242048190ba6ffcaacc4ca5d5 |
completed | March 7, 2026, 8:26 p.m. |
Created at: March 1, 2026, 7:47 p.m.