Triple
T22420140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southwest Calgary |
E554223
|
entity |
| Predicate | hasNeighborhood |
P40
|
FINISHED |
| Object |
Marda Loop
Marda Loop is a vibrant, mixed-use inner-city district in Calgary known for its independent shops, restaurants, and community events.
|
E1536503
|
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: Marda Loop | Statement: [Southwest Calgary, hasNeighborhood, Marda Loop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marda Loop Context triple: [Southwest Calgary, hasNeighborhood, Marda Loop]
-
A.
Liwa Loop
Liwa Loop is a high-thrill looping water slide attraction located at Yas Waterworld in Abu Dhabi.
-
B.
Pemi Loop
Pemi Loop is a challenging and popular long-distance hiking circuit in New Hampshire’s White Mountains that links multiple 4,000-foot peaks in a single loop.
-
C.
Langerringen
Langerringen is a municipality in the Swabian region of Bavaria in southern Germany.
-
D.
Bell Rock Loop
Bell Rock Loop is a popular hiking trail in Sedona, Arizona, known for its scenic red rock views and relatively easy, family-friendly terrain.
-
E.
Irish Loop
The Irish Loop is a scenic coastal region and driving route on Newfoundland’s Avalon Peninsula known for its rugged landscapes, small fishing communities, and opportunities for whale and seabird watching.
- 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: Marda Loop Triple: [Southwest Calgary, hasNeighborhood, Marda Loop]
Generated description
Marda Loop is a vibrant, mixed-use inner-city district in Calgary known for its independent shops, restaurants, and community events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marda Loop Target entity description: Marda Loop is a vibrant, mixed-use inner-city district in Calgary known for its independent shops, restaurants, and community events.
-
A.
Liwa Loop
Liwa Loop is a high-thrill looping water slide attraction located at Yas Waterworld in Abu Dhabi.
-
B.
Pemi Loop
Pemi Loop is a challenging and popular long-distance hiking circuit in New Hampshire’s White Mountains that links multiple 4,000-foot peaks in a single loop.
-
C.
Langerringen
Langerringen is a municipality in the Swabian region of Bavaria in southern Germany.
-
D.
Bell Rock Loop
Bell Rock Loop is a popular hiking trail in Sedona, Arizona, known for its scenic red rock views and relatively easy, family-friendly terrain.
-
E.
Irish Loop
The Irish Loop is a scenic coastal region and driving route on Newfoundland’s Avalon Peninsula known for its rugged landscapes, small fishing communities, and opportunities for whale and seabird watching.
- 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1594a58508190b41fd16c8de5f8b4 |
completed | April 29, 2026, 1:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0af0ee77208190b037b3baea224767 |
completed | May 18, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_6a0b08d42f148190a6dafbd6ef40727a |
completed | May 18, 2026, 12:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b09afe1948190bf7bd09e637e9089 |
completed | May 18, 2026, 12:44 p.m. |
Created at: April 16, 2026, 8:46 p.m.