Triple
T17527728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quincy Community Theatre |
E426843
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
QCT
QCT is the commonly used abbreviation for Quincy Community Theatre, a regional performing arts organization based in Quincy, Illinois.
|
E1273493
|
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: QCT | Statement: [Quincy Community Theatre, abbreviation, QCT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: QCT Context triple: [Quincy Community Theatre, abbreviation, QCT]
-
A.
The QC
The QC is a popular nickname for Charlotte, North Carolina, reflecting its identity as a major financial and cultural hub in the southeastern United States.
-
B.
QCN
QCN is a congestion notification mechanism defined in the IEEE 802.1Qau standard to manage and control traffic congestion in Ethernet networks.
-
C.
QTA
QTA is the acronym commonly used for the Qatar Tourism Authority, the government body responsible for promoting and regulating tourism in Qatar.
-
D.
QTA
QTA is the official railway station code for Quetta Railway Station in Pakistan’s railway network.
-
E.
QVT
QVT (Query/View/Transformation) is an OMG standard language for specifying model-to-model transformations in model-driven software engineering.
- 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: QCT Triple: [Quincy Community Theatre, abbreviation, QCT]
Generated description
QCT is the commonly used abbreviation for Quincy Community Theatre, a regional performing arts organization based in Quincy, Illinois.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: QCT Target entity description: QCT is the commonly used abbreviation for Quincy Community Theatre, a regional performing arts organization based in Quincy, Illinois.
-
A.
The QC
The QC is a popular nickname for Charlotte, North Carolina, reflecting its identity as a major financial and cultural hub in the southeastern United States.
-
B.
QCN
QCN is a congestion notification mechanism defined in the IEEE 802.1Qau standard to manage and control traffic congestion in Ethernet networks.
-
C.
QTA
QTA is the official railway station code for Quetta Railway Station in Pakistan’s railway network.
-
D.
QTA
QTA is the acronym commonly used for the Qatar Tourism Authority, the government body responsible for promoting and regulating tourism in Qatar.
-
E.
QVT
QVT (Query/View/Transformation) is an OMG standard language for specifying model-to-model transformations in model-driven software engineering.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d7523c819099278507e4a718d4 |
completed | April 19, 2026, 3:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c9494c28819086d10adb536ffed8 |
completed | May 11, 2026, 12:19 p.m. |
| NEDg | Description generation | batch_6a01ca2927f081908856b2d206776e44 |
completed | May 11, 2026, 12:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01caa5d0c8819085dea57b00c498e0 |
completed | May 11, 2026, 12:25 p.m. |
Created at: April 10, 2026, 5:49 a.m.