Triple
T15523765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Special Source Operations |
E369031
|
entity |
| Predicate | hasProgram |
P178
|
FINISHED |
| Object |
OAKSTAR
OAKSTAR is a classified U.S. National Security Agency surveillance program focused on collecting foreign communications data from fiber-optic cables and other high-capacity network infrastructure.
|
E1161801
|
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: OAKSTAR | Statement: [Special Source Operations, hasProgram, OAKSTAR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OAKSTAR Context triple: [Special Source Operations, hasProgram, OAKSTAR]
-
A.
OAKN
OAKN is the ICAO airport code for Kandahar International Airport in Kandahar, Afghanistan.
-
B.
OAK
OAK is the standard three-letter abbreviation used for the Major League Baseball team the Oakland Athletics.
-
C.
OAK
OAK is the standard abbreviation used for the former professional basketball team the Oakland Oaks.
-
D.
OAK
OAK is the IATA airport code for Oakland International Airport, a major commercial airport serving the San Francisco Bay Area in California.
-
E.
OAKB
OAKB is the ICAO airport code for Hamid Karzai International Airport, the main international airport serving Kabul, Afghanistan.
- 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: OAKSTAR Triple: [Special Source Operations, hasProgram, OAKSTAR]
Generated description
OAKSTAR is a classified U.S. National Security Agency surveillance program focused on collecting foreign communications data from fiber-optic cables and other high-capacity network infrastructure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OAKSTAR Target entity description: OAKSTAR is a classified U.S. National Security Agency surveillance program focused on collecting foreign communications data from fiber-optic cables and other high-capacity network infrastructure.
-
A.
OAKN
OAKN is the ICAO airport code for Kandahar International Airport in Kandahar, Afghanistan.
-
B.
OAK
OAK is the standard three-letter abbreviation used for the Major League Baseball team the Oakland Athletics.
-
C.
OAK
OAK is the IATA airport code for Oakland International Airport, a major commercial airport serving the San Francisco Bay Area in California.
-
D.
OAK
OAK is the standard abbreviation used for the former professional basketball team the Oakland Oaks.
-
E.
OAKB
OAKB is the ICAO airport code for Hamid Karzai International Airport, the main international airport serving Kabul, Afghanistan.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e04143bda08190a2dee44918c1ad1c |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d5706948190a1c0f466f7ef8857 |
completed | May 9, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69ff3e5643088190a9b001ef815ddd3a |
completed | May 9, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff3f4456f88190b7fc9b853b0155e4 |
completed | May 9, 2026, 2:05 p.m. |
Created at: April 10, 2026, 4:05 a.m.