Triple
T3237683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | QatarEnergy |
E67893
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
QE
QE is the abbreviated name for QatarEnergy, the state-owned petroleum and natural gas company of Qatar.
|
E340392
|
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: QE | Statement: [QatarEnergy, shortName, QE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: QE Context triple: [QatarEnergy, shortName, QE]
-
A.
QR
QR is the two-letter IATA airline designator assigned to Qatar Airways, the flag carrier of Qatar.
-
B.
QUE
QUE is the standard abbreviation used for the Quebec Remparts, a major junior ice hockey team in the Quebec Major Junior Hockey League.
-
C.
QF
QF is the IATA airline designator used for Qantas, the flag carrier of Australia.
-
D.
EQ
EQ is Mercedes-Benz’s dedicated sub-brand for electric vehicles and related technologies, representing the company’s push into premium, battery-powered mobility.
-
E.
SQ
SQ is the IATA airline designator used worldwide to identify Singapore Airlines on tickets, timetables, and flight numbers.
- 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: QE Triple: [QatarEnergy, shortName, QE]
Generated description
QE is the abbreviated name for QatarEnergy, the state-owned petroleum and natural gas company of Qatar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: QE Target entity description: QE is the abbreviated name for QatarEnergy, the state-owned petroleum and natural gas company of Qatar.
-
A.
QR
QR is the two-letter IATA airline designator assigned to Qatar Airways, the flag carrier of Qatar.
-
B.
QUE
QUE is the standard abbreviation used for the Quebec Remparts, a major junior ice hockey team in the Quebec Major Junior Hockey League.
-
C.
QF
QF is the IATA airline designator used for Qantas, the flag carrier of Australia.
-
D.
EQ
EQ is Mercedes-Benz’s dedicated sub-brand for electric vehicles and related technologies, representing the company’s push into premium, battery-powered mobility.
-
E.
SQ
SQ is the IATA airline designator used worldwide to identify Singapore Airlines on tickets, timetables, and flight numbers.
- 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaef29bf48190a9aa3a39f0138428 |
completed | March 8, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2774a97c481908be820bc5ddf786d |
completed | March 12, 2026, 8:20 a.m. |
| NEDg | Description generation | batch_69b2780e41e0819080ddb26668f32838 |
completed | March 12, 2026, 8:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b27bd238a48190b9d13ee8a8bc955d |
completed | March 12, 2026, 8:39 a.m. |
Created at: March 8, 2026, 3:08 p.m.