Triple
T12080168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Environment Canterbury |
E287655
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
ECan
ECan is the regional council responsible for environmental management and resource planning in the Canterbury region of New Zealand.
|
E963303
|
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: ECan | Statement: [Environment Canterbury, shortName, ECan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ECan Context triple: [Environment Canterbury, shortName, ECan]
-
A.
E.C.
E.C. is a common shorthand nickname for the city of Eau Claire in western Wisconsin.
-
B.
EC1N
EC1N is a central London postcode district covering parts of the Holborn and Farringdon areas, known for its mix of legal, commercial, and residential properties.
-
C.
CAN
CAN is a South American regional integration organization that promotes economic and social cooperation among its member countries, including Bolivia, Colombia, Ecuador, and Peru.
-
D.
CAN
CAN is the FIFA country code for Canada, the North American nation whose teams and players participate in international soccer competitions.
-
E.
CAN
CAN is the standard international abbreviation for the Canada men's national ice hockey team, one of the most successful and historically dominant teams in world ice hockey.
- 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: ECan Triple: [Environment Canterbury, shortName, ECan]
Generated description
ECan is the regional council responsible for environmental management and resource planning in the Canterbury region of New Zealand.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ECan Target entity description: ECan is the regional council responsible for environmental management and resource planning in the Canterbury region of New Zealand.
-
A.
E.C.
E.C. is a common shorthand nickname for the city of Eau Claire in western Wisconsin.
-
B.
EC1N
EC1N is a central London postcode district covering parts of the Holborn and Farringdon areas, known for its mix of legal, commercial, and residential properties.
-
C.
CAN
CAN is a South American regional integration organization that promotes economic and social cooperation among its member countries, including Bolivia, Colombia, Ecuador, and Peru.
-
D.
CAN
CAN is the FIFA country code for Canada, the North American nation whose teams and players participate in international soccer competitions.
-
E.
CAN
CAN is the standard international abbreviation for the Canada men's national ice hockey team, one of the most successful and historically dominant teams in world ice hockey.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d904dc98a88190a5873f3fd8e1a0b2 |
completed | April 10, 2026, 2:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f66301f081909697f9dd444a099e |
completed | May 2, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69f5fde880f4819094b2170bf4e82138 |
completed | May 2, 2026, 1:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f5ffc2cfd08190b87eccd3a73afc77 |
completed | May 2, 2026, 1:44 p.m. |
Created at: April 8, 2026, 9:48 p.m.