Triple
T23302411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3GPP2 |
E590337
|
entity |
| Predicate | coordinatesWith |
P1140
|
FINISHED |
| Object | ARIB |
—
|
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: ARIB | Statement: [3GPP2, coordinatesWith, ARIB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ARIB Context triple: [3GPP2, coordinatesWith, ARIB]
-
A.
ARIB
chosen
ARIB (Association of Radio Industries and Businesses) is a Japanese standards organization that develops and promotes technical standards for radio and telecommunications systems.
-
B.
ABR
ABR is the three-letter IATA airport code for Aberdeen Regional Airport in Aberdeen, South Dakota, USA.
-
C.
AARI
AARI is a Russian polar research institute that leads and coordinates the country’s scientific activities in the Arctic and Antarctic regions.
-
D.
ARITC
ARITC is a British Army organization responsible for overseeing recruitment and the initial training of new soldiers.
-
E.
AEARU
AEARU (Association of East Asian Research Universities) is a consortium of leading research-intensive universities in East Asia that promotes academic collaboration and exchange among its member institutions.
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1972406a08190bbf355cc7a9f8432 |
completed | April 29, 2026, 5:29 a.m. |
Created at: April 17, 2026, 5:04 p.m.