Triple
T12924997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chief Warrant Officer 2 |
E309220
|
entity |
| Predicate | NATORankCode |
P24247
|
FINISHED |
| Object |
WO-2
WO-2 is a NATO rank code designating the second level of warrant officer, typically a junior technical and leadership specialist rank in many armed forces.
|
E1012163
|
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: WO-2 | Statement: [Chief Warrant Officer 2, NATORankCode, WO-2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WO-2 Context triple: [Chief Warrant Officer 2, NATORankCode, WO-2]
-
A.
W 032
W 032 is a notable early Greek manuscript of the four Gospels, known to scholars as Codex Washingtonianus and housed in the Smithsonian Institution.
-
B.
Wo!!
Wo!! is a hit Nigerian street-hop single by rapper Olamide, known for its catchy beat, dance-inducing vibe, and massive popularity across Nigeria.
-
C.
WONDO
WONDO is a track by rapper 6ix9ine from his 2018 studio album "Dummy Boy," known for its aggressive style and trap-influenced production.
-
D.
W-30
W-30 is a high-performance option package for the Oldsmobile 442 muscle car, known for enhancing power, handling, and overall track capability.
-
E.
W3
W3 is a massive, active star-forming molecular cloud complex in the Perseus Arm of the Milky Way, known for hosting numerous young stellar objects and compact H II regions.
- 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: WO-2 Triple: [Chief Warrant Officer 2, NATORankCode, WO-2]
Generated description
WO-2 is a NATO rank code designating the second level of warrant officer, typically a junior technical and leadership specialist rank in many armed forces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WO-2 Target entity description: WO-2 is a NATO rank code designating the second level of warrant officer, typically a junior technical and leadership specialist rank in many armed forces.
-
A.
W 032
W 032 is a notable early Greek manuscript of the four Gospels, known to scholars as Codex Washingtonianus and housed in the Smithsonian Institution.
-
B.
Wo!!
Wo!! is a hit Nigerian street-hop single by rapper Olamide, known for its catchy beat, dance-inducing vibe, and massive popularity across Nigeria.
-
C.
WONDO
WONDO is a track by rapper 6ix9ine from his 2018 studio album "Dummy Boy," known for its aggressive style and trap-influenced production.
-
D.
W-30
W-30 is a high-performance option package for the Oldsmobile 442 muscle car, known for enhancing power, handling, and overall track capability.
-
E.
W3
W3 is a common shorthand for the World Wide Web, the global system of interlinked hypertext documents and resources accessed via the internet.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971e9576c81908eb59569af6da877 |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af64905c8190b0f2adb66c17c476 |
completed | May 3, 2026, 2:13 a.m. |
| NEDg | Description generation | batch_69f6b19fbe3881909e08628c0672388b |
completed | May 3, 2026, 2:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b5d11960819092c920f19eaad540 |
completed | May 3, 2026, 2:41 a.m. |
Created at: April 9, 2026, 5:42 p.m.