Triple
T9499580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moscow International Business Center |
E229100
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
IQ-quarter
IQ-quarter is a modern mixed-use skyscraper complex within Moscow’s International Business Center, featuring office, residential, and hotel spaces.
|
E802971
|
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: IQ-quarter | Statement: [Moscow International Business Center, hasPart, IQ-quarter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IQ-quarter Context triple: [Moscow International Business Center, hasPart, IQ-quarter]
-
A.
QE
QE is the abbreviated name for QatarEnergy, the state-owned petroleum and natural gas company of Qatar.
-
B.
IQT
IQT is the IATA airport code for Coronel FAP Francisco Secada Vignetta International Airport serving Iquitos, Peru.
-
C.
QTR
QTR is the ICAO airline designator used in aviation to identify Qatar Airways flights in air traffic control and operational contexts.
-
D.
QR
QR is the two-letter IATA airline designator assigned to Qatar Airways, the flag carrier of Qatar.
-
E.
The Q
The Q is a popular nickname for the Quebec Major Junior Hockey League, one of the three major junior ice hockey leagues that make up the Canadian Hockey League.
- 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: IQ-quarter Triple: [Moscow International Business Center, hasPart, IQ-quarter]
Generated description
IQ-quarter is a modern mixed-use skyscraper complex within Moscow’s International Business Center, featuring office, residential, and hotel spaces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IQ-quarter Target entity description: IQ-quarter is a modern mixed-use skyscraper complex within Moscow’s International Business Center, featuring office, residential, and hotel spaces.
-
A.
QE
QE is the abbreviated name for QatarEnergy, the state-owned petroleum and natural gas company of Qatar.
-
B.
IQT
IQT is the IATA airport code for Coronel FAP Francisco Secada Vignetta International Airport serving Iquitos, Peru.
-
C.
QTR
QTR is the ICAO airline designator used in aviation to identify Qatar Airways flights in air traffic control and operational contexts.
-
D.
QR
QR is the two-letter IATA airline designator assigned to Qatar Airways, the flag carrier of Qatar.
-
E.
The Q
The Q is the popular nickname for Qualcomm Stadium, the former multi-purpose sports venue in San Diego that hosted NFL and MLB games as well as major events.
- 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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd983a94c48190a7ddf95a953c4ecc |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12d412a008190adc82e1e3d56d107 |
completed | April 4, 2026, 3:24 p.m. |
| NEDg | Description generation | batch_69d1313e3bac819097169f2f34cb19b4 |
completed | April 4, 2026, 3:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d131a254b08190a071e838c3e56513 |
completed | April 4, 2026, 3:43 p.m. |
Created at: March 30, 2026, 7:56 p.m.