Triple
T5926321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth, Duchess of York |
E131818
|
entity |
| Predicate | honorificSuffix |
P341
|
FINISHED |
| Object |
QSO
QSO is a New Zealand honor awarded for distinguished service to the Crown and nation, particularly in public or community service.
|
E557330
|
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: QSO | Statement: [Elizabeth, Duchess of York, honorificSuffix, QSO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: QSO Context triple: [Elizabeth, Duchess of York, honorificSuffix, QSO]
-
A.
QOR
QOR is the abbreviation commonly used for The Queen's Own Rifles of Canada, a historic primary reserve infantry regiment of the Canadian Army.
-
B.
Squantum
Squantum is a coastal neighborhood of Quincy, Massachusetts, known for its residential character, waterfront views, and proximity to Boston.
-
C.
QUNO
QUNO is a Quaker organization that engages in quiet diplomacy and advocacy at the United Nations on issues such as peace, human rights, and social justice.
-
D.
ShinQs
ShinQs is a stylish multi-floor shopping complex and department store area located within the Shibuya Hikarie building in Tokyo, offering fashion, lifestyle goods, and gourmet food.
-
E.
QFO
QFO is the IATA airport code assigned to Florennes Air Base, a military airfield in Belgium.
- 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: QSO Triple: [Elizabeth, Duchess of York, honorificSuffix, QSO]
Generated description
QSO is a New Zealand honor awarded for distinguished service to the Crown and nation, particularly in public or community service.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: QSO Target entity description: QSO is a New Zealand honor awarded for distinguished service to the Crown and nation, particularly in public or community service.
-
A.
QOR
QOR is the abbreviation commonly used for The Queen's Own Rifles of Canada, a historic primary reserve infantry regiment of the Canadian Army.
-
B.
Squantum
Squantum is a coastal neighborhood of Quincy, Massachusetts, known for its residential character, waterfront views, and proximity to Boston.
-
C.
QUNO
QUNO is a Quaker organization that engages in quiet diplomacy and advocacy at the United Nations on issues such as peace, human rights, and social justice.
-
D.
ShinQs
ShinQs is a stylish multi-floor shopping complex and department store area located within the Shibuya Hikarie building in Tokyo, offering fashion, lifestyle goods, and gourmet food.
-
E.
QFO
QFO is the IATA airport code assigned to Florennes Air Base, a military airfield in Belgium.
- 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c038542e548190b335df9a948c8490 |
completed | March 22, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c04e5af8819095f15cfbc1f13c46 |
completed | March 23, 2026, 4:23 a.m. |
| NEDg | Description generation | batch_69c0c23cc6d081909ce27bfb6a6f33d4 |
completed | March 23, 2026, 4:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c2deec7c81909d9949cb28f0211f |
completed | March 23, 2026, 4:34 a.m. |
Created at: March 22, 2026, 4 p.m.