Triple
T1881965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oakville, Ontario |
E39871
|
entity |
| Predicate | postalCodePrefix |
P222
|
FINISHED |
| Object |
L6L
L6L is a Canadian postal code prefix serving part of the town of Oakville in southern Ontario.
|
E209816
|
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: L6L | Statement: [Oakville, Ontario, postalCodePrefix, L6L]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: L6L Context triple: [Oakville, Ontario, postalCodePrefix, L6L]
-
A.
L1BC
L1BC is a regional Canadian soccer league that operates as part of the League1 Canada structure, providing a pro-am development platform for players in British Columbia.
-
B.
7L
7L is the IATA airline designator assigned to AeroCaribbean, a regional carrier based in Cuba.
-
C.
L86 LSW
The L86 LSW is the light support weapon variant of the British SA80 family, designed to provide sustained, accurate automatic fire at the squad level.
-
D.
LX
LX is the second-generation Holden Torana series produced in the mid-1970s, notable for introducing the A9X performance package and being a popular Australian mid-size car in both road and racing forms.
-
E.
L2M
L2M is a DARPA research initiative focused on developing AI systems capable of continuous, lifelong learning and adaptation.
- 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: L6L Triple: [Oakville, Ontario, postalCodePrefix, L6L]
Generated description
L6L is a Canadian postal code prefix serving part of the town of Oakville in southern Ontario.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: L6L Target entity description: L6L is a Canadian postal code prefix serving part of the town of Oakville in southern Ontario.
-
A.
L1BC
L1BC is a regional Canadian soccer league that operates as part of the League1 Canada structure, providing a pro-am development platform for players in British Columbia.
-
B.
7L
7L is the IATA airline designator assigned to AeroCaribbean, a regional carrier based in Cuba.
-
C.
L86 LSW
The L86 LSW is the light support weapon variant of the British SA80 family, designed to provide sustained, accurate automatic fire at the squad level.
-
D.
LX
LX is the second-generation Holden Torana series produced in the mid-1970s, notable for introducing the A9X performance package and being a popular Australian mid-size car in both road and racing forms.
-
E.
L2M
L2M is a DARPA research initiative focused on developing AI systems capable of continuous, lifelong learning and adaptation.
- 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_69a88633e4fc8190b7eb40463e048ec5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0fb95b48190af5286662c8b9734 |
completed | March 7, 2026, 5 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf5eabd8819089f267db92993033 |
completed | March 8, 2026, 8:43 p.m. |
| NEDg | Description generation | batch_69addfe604708190b85d6f7261197537 |
completed | March 8, 2026, 8:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ade0919d748190a4326d4abca2c9eb |
completed | March 8, 2026, 8:48 p.m. |
Created at: March 4, 2026, 7:34 p.m.