Triple
T643548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hudson's Bay Company |
E16791
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
HBC
HBC is the stock ticker symbol for Hudson's Bay Company, a historic Canadian retail business group known for its department stores and real estate holdings.
|
E80316
|
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: HBC | Statement: [Hudson's Bay Company, tickerSymbol, HBC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HBC Context triple: [Hudson's Bay Company, tickerSymbol, HBC]
-
A.
HBE
HBE is the IATA airport code for Borg El Arab Airport, the main international airport serving Alexandria, Egypt.
-
B.
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.
-
C.
BHM
BHM is the three-letter National Rail station code for Birmingham New Street, the main railway hub in Birmingham, England.
-
D.
CUB
CUB is the three-letter ISO 3166-1 alpha-3 country code assigned to Cuba for international standardization and identification purposes.
-
E.
MAB
MAB is a German bibliographic data format used for cataloging and exchanging library records, closely related to and historically aligned with MARC standards.
- 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: HBC Triple: [Hudson's Bay Company, tickerSymbol, HBC]
Generated description
HBC is the stock ticker symbol for Hudson's Bay Company, a historic Canadian retail business group known for its department stores and real estate holdings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HBC Target entity description: HBC is the stock ticker symbol for Hudson's Bay Company, a historic Canadian retail business group known for its department stores and real estate holdings.
-
A.
HBE
HBE is the IATA airport code for Borg El Arab Airport, the main international airport serving Alexandria, Egypt.
-
B.
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.
-
C.
BHM
BHM is the three-letter National Rail station code for Birmingham New Street, the main railway hub in Birmingham, England.
-
D.
CUB
CUB is the three-letter ISO 3166-1 alpha-3 country code assigned to Cuba for international standardization and identification purposes.
-
E.
MAB
MAB is a German bibliographic data format used for cataloging and exchanging library records, closely related to and historically aligned with MARC standards.
- 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49f18216081908331aa12dac40214 |
completed | March 1, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5778faa788190ac246d6cd6b983f4 |
completed | March 2, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_69a57806b6148190a56a1ed535bb3a65 |
completed | March 2, 2026, 11:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5785996748190ae7761d190bbd35f |
completed | March 2, 2026, 11:45 a.m. |
Created at: March 1, 2026, 7:36 p.m.