Triple
T13462518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rouyn-Noranda Huskies |
E311407
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
ROU
ROU is the standard abbreviation used for the Rouyn-Noranda Huskies, a major junior ice hockey team in the Quebec Major Junior Hockey League (QMJHL).
|
E793409
|
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: ROU | Statement: [Rouyn-Noranda Huskies, abbreviation, ROU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ROU Context triple: [Rouyn-Noranda Huskies, abbreviation, ROU]
-
A.
ROU
ROU is the three-letter international country code used to represent Romania in sports and other global contexts.
-
B.
RO
RO is the IATA airline designator assigned to TAROM, the flag carrier airline of Romania.
-
C.
RO
RO is the stock ticker symbol for Roche, the multinational Swiss healthcare and pharmaceutical company.
-
D.
RO
RO is the vehicle registration code used on license plates for vehicles registered in the Province of Rovigo in Italy.
-
E.
RO
RO is the vehicle registration code used on license plates for vehicles registered in the district of Rosenheim in Germany.
- 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: ROU Triple: [Rouyn-Noranda Huskies, abbreviation, ROU]
Generated description
ROU is the standard abbreviation used for the Rouyn-Noranda Huskies, a major junior ice hockey team in the Quebec Major Junior Hockey League (QMJHL).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ROU Target entity description: ROU is the standard abbreviation used for the Rouyn-Noranda Huskies, a major junior ice hockey team in the Quebec Major Junior Hockey League (QMJHL).
-
A.
ROU
chosen
ROU is the three-letter international country code used to represent Romania in sports and other global contexts.
-
B.
RO
RO is the IATA airline designator assigned to TAROM, the flag carrier airline of Romania.
-
C.
RO
RO is the stock ticker symbol for Roche, the multinational Swiss healthcare and pharmaceutical company.
-
D.
RO
RO is the vehicle registration code used on license plates for vehicles registered in the Province of Rovigo in Italy.
-
E.
RO
RO is the vehicle registration code used on license plates for vehicles registered in the district of Rosenheim in Germany.
- F. None of above.
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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf0d95fc81909d9f73d5315dc7b4 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f739a2c75c819093765eb9d0d2377e |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73db030ec8190a7d6b2cb1a3d52ed |
completed | May 3, 2026, 12:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73e8531a48190a280407f291d004c |
completed | May 3, 2026, 12:24 p.m. |
Created at: April 9, 2026, 9:41 p.m.