Triple
T2699248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central District |
E58589
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
PMQ
PMQ is a revitalized creative hub and design center in Hong Kong’s Central District, housed in the former Police Married Quarters and now home to studios, shops, and cultural events.
|
E291442
|
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: PMQ | Statement: [Central District, hasLandmark, PMQ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PMQ Context triple: [Central District, hasLandmark, PMQ]
-
A.
MQ
MQ is IBM's messaging middleware that enables reliable, asynchronous communication between distributed applications and systems.
-
B.
MQ
MQ is the IATA airline designator used by American Eagle Airlines for its flight operations.
-
C.
MQ
MQ is a German vehicle registration code assigned to the Saalekreis district in the state of Saxony-Anhalt.
-
D.
PM
PM is the commonly used abbreviation for the Prime Minister of India, the head of the Indian government.
-
E.
PM
PM is the international vehicle registration code assigned to the French overseas collectivity of Saint Pierre and Miquelon.
- 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: PMQ Triple: [Central District, hasLandmark, PMQ]
Generated description
PMQ is a revitalized creative hub and design center in Hong Kong’s Central District, housed in the former Police Married Quarters and now home to studios, shops, and cultural events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PMQ Target entity description: PMQ is a revitalized creative hub and design center in Hong Kong’s Central District, housed in the former Police Married Quarters and now home to studios, shops, and cultural events.
-
A.
MQ
MQ is IBM's messaging middleware that enables reliable, asynchronous communication between distributed applications and systems.
-
B.
MQ
MQ is the IATA airline designator used by American Eagle Airlines for its flight operations.
-
C.
MQ
MQ is a German vehicle registration code assigned to the Saalekreis district in the state of Saxony-Anhalt.
-
D.
PM
PM is the commonly used abbreviation for the Prime Minister of India, the head of the Indian government.
-
E.
PM
PM is the international vehicle registration code assigned to the French overseas collectivity of Saint Pierre and Miquelon.
- 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda339cf48190b9ae6b99137f005e |
completed | March 7, 2026, 7:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf70f9088190acd4c8bd05deea47 |
completed | March 10, 2026, 5:43 a.m. |
| NEDg | Description generation | batch_69afb045e304819080efecf2738453e6 |
completed | March 10, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb0ab2a8081909e729f883a7438d7 |
completed | March 10, 2026, 5:48 a.m. |
Created at: March 6, 2026, 9:55 p.m.