Triple
T4070676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Protection Squadron |
E86637
|
entity |
| Predicate | controls |
P760
|
FINISHED |
| Object | SD |
unclear NED1
|
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: SD | Statement: [Protection Squadron, controls, SD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SD Context triple: [Protection Squadron, controls, SD]
-
A.
SD
SD is the commonly used abbreviation for Norway's Ministry of Transport, the government body responsible for national transport policy and infrastructure.
-
B.
SD
SD is the standard abbreviation for the San Diego Padres, a Major League Baseball team based in San Diego, California.
-
C.
SD
SD is the official two-letter United States Postal Service abbreviation for the state of South Dakota.
-
D.
SD
SD is the standard abbreviation used for the San Diego Fleet, a former professional American football team in the Alliance of American Football.
-
E.
SD
SD is the abbreviated name commonly used for the SS Security Service, the intelligence and security agency of Nazi Germany’s Schutzstaffel.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69aed93ebe448190a1f1686e28740ac9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc1f6d9c8190845d2fcd15fcdfd6 |
completed | March 9, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562b6eb708190a7f60192d8df9a27 |
completed | March 14, 2026, 1:29 p.m. |
Created at: March 9, 2026, 3:38 p.m.