Triple
T13850602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darren Albert |
E332926
|
entity |
| Predicate | league |
P888
|
FINISHED |
| Object | ARL |
E68289
|
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: ARL | Statement: [Darren Albert, league, ARL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ARL Context triple: [Darren Albert, league, ARL]
-
A.
ARL
ARL is the airport rail link service connecting central Bangkok with Suvarnabhumi International Airport.
-
B.
ARL
ARL is the primary scientific research and development laboratory of the United States Army, focused on advancing cutting-edge technologies to support national defense.
-
C.
ARL
chosen
ARL (Australian Rugby League) was the top-level rugby league competition in Australia during the mid-1990s, preceding the formation of the National Rugby League (NRL).
-
D.
ARLC
ARLC is the governing body responsible for overseeing and administering professional rugby league in Australia, including the National Rugby League (NRL).
-
E.
ALRN
ALRN is the commonly used abbreviation for the Legislative Assembly of the Brazilian state of Rio Grande do Norte, its unicameral state legislature.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02d8fb788190baef7537be2baecb |
completed | April 14, 2026, 9:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0f73838819085d6f052c00fc494 |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:14 p.m.