Triple
T922288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen’s Royal Hussars |
E19906
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
QRH
QRH is the abbreviation for the Queen’s Royal Hussars, a cavalry regiment of the British Army.
|
E108035
|
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: QRH | Statement: [Queen’s Royal Hussars, hasAbbreviation, QRH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: QRH Context triple: [Queen’s Royal Hussars, hasAbbreviation, QRH]
-
A.
KRH
KRH is the commonly used abbreviation for the King’s Royal Hussars, a British Army cavalry regiment.
-
B.
BHR
BHR is the three-letter ISO 3166-1 alpha-3 country code assigned to the Kingdom of Bahrain.
-
C.
RVR
RVR is the standard abbreviation for the Reina-Valera, a widely used Spanish translation of the Bible.
-
D.
HCR
HCR is the commonly used abbreviation for the United Nations High Commissioner for Refugees, the UN agency responsible for protecting and supporting refugees worldwide.
-
E.
RHT
RHT is the former stock ticker symbol for Red Hat, a leading open-source software company best known for its enterprise Linux operating system and related technologies.
- 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: QRH Triple: [Queen’s Royal Hussars, hasAbbreviation, QRH]
Generated description
QRH is the abbreviation for the Queen’s Royal Hussars, a cavalry regiment of the British Army.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: QRH Target entity description: QRH is the abbreviation for the Queen’s Royal Hussars, a cavalry regiment of the British Army.
-
A.
KRH
KRH is the commonly used abbreviation for the King’s Royal Hussars, a British Army cavalry regiment.
-
B.
BHR
BHR is the three-letter ISO 3166-1 alpha-3 country code assigned to the Kingdom of Bahrain.
-
C.
RVR
RVR is the standard abbreviation for the Reina-Valera, a widely used Spanish translation of the Bible.
-
D.
HCR
HCR is the commonly used abbreviation for the United Nations High Commissioner for Refugees, the UN agency responsible for protecting and supporting refugees worldwide.
-
E.
RHT
RHT is the former stock ticker symbol for Red Hat, a leading open-source software company best known for its enterprise Linux operating system and related technologies.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b313cb908190ad78b3a54e4f2eb7 |
completed | March 1, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7cf6486d88190b53cd743b08eef33 |
completed | March 4, 2026, 6:21 a.m. |
| NEDg | Description generation | batch_69a7d02d9d308190a9e950ae034b2ec5 |
completed | March 4, 2026, 6:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7d0aac93481908ffc2141d668e9d2 |
completed | March 4, 2026, 6:26 a.m. |
Created at: March 1, 2026, 7:40 p.m.