Triple
T183230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RSN |
E3922
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | RSN |
E3922
|
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: RSN | Statement: [RSN, hasAbbreviation, RSN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RSN Context triple: [RSN, hasAbbreviation, RSN]
-
A.
RSN
chosen
RSN is the common abbreviation for Red Sox Nation, the passionate fan base of Major League Baseball’s Boston Red Sox.
-
B.
NR
NR is the standard abbreviation for National Rail, the collective network of passenger railway services in Great Britain.
-
C.
ASN(RD&A)
ASN(RD&A) is the senior U.S. Navy civilian office responsible for overseeing all naval research, development, and acquisition programs and policies.
-
D.
SN
SN is the commonly used abbreviated form of the Ukrainian political party and former television series "Servant of the People."
-
E.
LNS
LNS is the commonly used abbreviation for the Laboratory for Nuclear Science, a research institution focused on advancing the understanding of nuclear and particle physics.
- 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_69a25497e2f08190a040f8c6e1842643 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a2592516748190a85ae58eec191f14 |
completed | Feb. 28, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2fa7e41c88190bf15f5223d215ab8 |
completed | Feb. 28, 2026, 2:23 p.m. |
Created at: Feb. 28, 2026, 2:40 a.m.