Triple
T9740055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RSL |
E236163
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | OSL |
E119729
|
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: OSL | Statement: [RSL, relatedTo, OSL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OSL Context triple: [RSL, relatedTo, OSL]
-
A.
OSL
chosen
OSL is the three-letter IATA airport code for Oslo Airport, Gardermoen, the main international airport serving Norway’s capital.
-
B.
OSO
OSO is the commonly used abbreviation for the Office of SIGINT Operations, a signals intelligence unit within the U.S. National Security Agency.
-
C.
OSED
OSED is an advanced exploit development certification from Offensive Security that validates a professional’s ability to discover and develop exploits for modern software vulnerabilities.
-
D.
Cal OES
Cal OES is the California state agency responsible for coordinating emergency management, disaster response, and homeland security efforts.
-
E.
OES
OES is the U.S. State Department bureau responsible for advancing American foreign policy on oceans, environment, science, technology, and health issues.
- 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_69ca84d313e88190983ee6ffd0ef60d2 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f29a5bc8190b2b391017405c71e |
completed | April 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1afe0dab48190832ab77265c09d70 |
completed | April 5, 2026, 12:42 a.m. |
Created at: March 30, 2026, 8:22 p.m.