Triple
T15398165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On-Site Inspection Agency |
E368235
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
OSIA
OSIA is the acronym for the On-Site Inspection Agency, a U.S. Department of Defense organization responsible for conducting arms control and disarmament inspections and monitoring international treaty compliance.
|
E1154085
|
NE FINISHED |
How this triple was built (4 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: OSIA | Statement: [On-Site Inspection Agency, abbreviation, OSIA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OSIA Context triple: [On-Site Inspection Agency, abbreviation, OSIA]
-
A.
OSO
OSO is the commonly used abbreviation for the Office of SIGINT Operations, a signals intelligence unit within the U.S. National Security Agency.
-
B.
ÖIS
ÖIS is a Swedish sports club best known for its historic football team based in Gothenburg.
-
C.
OCISA
OCISA was one of the predecessor companies that combined to form the multinational technology and consulting firm ACS Group.
-
D.
OISS
OISS is the ICAO airport code for Shiraz International Airport in Shiraz, Iran.
-
E.
OIOS
OIOS is the United Nations’ internal oversight body responsible for auditing, investigating, and evaluating the organization’s operations to ensure accountability and efficiency.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: OSIA Triple: [On-Site Inspection Agency, abbreviation, OSIA]
Generated description
OSIA is the acronym for the On-Site Inspection Agency, a U.S. Department of Defense organization responsible for conducting arms control and disarmament inspections and monitoring international treaty compliance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OSIA Target entity description: OSIA is the acronym for the On-Site Inspection Agency, a U.S. Department of Defense organization responsible for conducting arms control and disarmament inspections and monitoring international treaty compliance.
-
A.
OSO
OSO is the commonly used abbreviation for the Office of SIGINT Operations, a signals intelligence unit within the U.S. National Security Agency.
-
B.
ÖIS
ÖIS is a Swedish sports club best known for its historic football team based in Gothenburg.
-
C.
OCISA
OCISA was one of the predecessor companies that combined to form the multinational technology and consulting firm ACS Group.
-
D.
OISS
OISS is the ICAO airport code for Shiraz International Airport in Shiraz, Iran.
-
E.
OIOS
OIOS is the United Nations’ internal oversight body responsible for auditing, investigating, and evaluating the organization’s operations to ensure accountability and efficiency.
- F. None of above. chosen
Provenance (5 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8c5d40819086622b70edcb6294 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff13542c908190abf765b0530c76ce |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff14042ce8819084817836b096f175 |
completed | May 9, 2026, 11:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff14745a8c81909b10d6b21b88b50b |
completed | May 9, 2026, 11:03 a.m. |
Created at: April 10, 2026, 3:19 a.m.