Triple
T5681949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | APS Division of Quantum Information |
E125218
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
DQI
DQI is the American Physical Society’s Division of Quantum Information, a professional unit focused on advancing research and collaboration in quantum information science.
|
E541035
|
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: DQI | Statement: [APS Division of Quantum Information, hasAbbreviation, DQI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DQI Context triple: [APS Division of Quantum Information, hasAbbreviation, DQI]
-
A.
DoQ
DoQ is a network protocol that secures and accelerates DNS queries by running them over the QUIC transport layer.
-
B.
PQI
PQI is the IATA airport code for Northern Maine Regional Airport at Presque Isle in Maine, United States.
-
C.
QDR
QDR is a major U.S. Department of Defense strategic review conducted every four years to assess and guide long-term defense priorities, capabilities, and force structure.
-
D.
BDQ
BDQ is the IATA airport code for Vadodara Airport in Gujarat, India.
-
E.
CDQ
CDQ is a Nigerian rapper known for his energetic Yoruba-language street hip-hop and collaborations with major Afrobeats artists.
- 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: DQI Triple: [APS Division of Quantum Information, hasAbbreviation, DQI]
Generated description
DQI is the American Physical Society’s Division of Quantum Information, a professional unit focused on advancing research and collaboration in quantum information science.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DQI Target entity description: DQI is the American Physical Society’s Division of Quantum Information, a professional unit focused on advancing research and collaboration in quantum information science.
-
A.
DoQ
DoQ is a network protocol that secures and accelerates DNS queries by running them over the QUIC transport layer.
-
B.
PQI
PQI is the IATA airport code for Northern Maine Regional Airport at Presque Isle in Maine, United States.
-
C.
QDR
QDR is a major U.S. Department of Defense strategic review conducted every four years to assess and guide long-term defense priorities, capabilities, and force structure.
-
D.
BDQ
BDQ is the IATA airport code for Vadodara Airport in Gujarat, India.
-
E.
CDQ
CDQ is a Nigerian rapper known for his energetic Yoruba-language street hip-hop and collaborations with major Afrobeats artists.
- 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02398fd548190be5fa479ba703796 |
completed | March 22, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a35dd9c8190acd2ee8e94f309a6 |
completed | March 22, 2026, 9:08 p.m. |
| NEDg | Description generation | batch_69c05c471c3081909e5bf44f47388a7c |
completed | March 22, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05cda809c81908219947cf06c381a |
completed | March 22, 2026, 9:19 p.m. |
Created at: March 22, 2026, 3:44 p.m.