Triple
T21703643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ANAS |
E535717
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | ANAS |
—
|
NE NERFINISHED |
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: ANAS | Statement: [ANAS, abbreviation, ANAS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ANAS Context triple: [ANAS, abbreviation, ANAS]
-
A.
ANAS
chosen
ANAS is the primary state research institution in Azerbaijan, overseeing and coordinating scientific activities and academic research across the country.
-
B.
ANAS
ANAS is Italy’s national road agency responsible for the construction, maintenance, and management of much of the country’s road and motorway network.
-
C.
Anis
Anis is a given name, often of Arabic origin, used for both males and females in various cultures.
-
D.
Anka-S
Anka-S is a Turkish-made, satellite-controlled, medium-altitude long-endurance (MALE) unmanned aerial vehicle designed for extended surveillance and reconnaissance missions.
-
E.
Ansen
Ansen is a small village in the Dutch province of Drenthe, located within the municipality of De Wolden.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef9b82901c81909de242c920fbc164 |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 16, 2026, 6:46 p.m.