Triple
T24873555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inverness, Nova Scotia |
E622501
|
entity |
| Predicate | hasTouristAttraction |
P530
|
FINISHED |
| Object |
Cabot Cliffs
Cabot Cliffs is a renowned seaside golf course in Inverness, Nova Scotia, celebrated for its dramatic cliffside holes and sweeping views of the Gulf of St. Lawrence.
|
E1649988
|
NE FINISHED |
How this triple was built (2 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: Cabot Cliffs | Statement: [Inverness, Nova Scotia, hasTouristAttraction, Cabot Cliffs]
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: Cabot Cliffs Triple: [Inverness, Nova Scotia, hasTouristAttraction, Cabot Cliffs]
Generated description
Cabot Cliffs is a renowned seaside golf course in Inverness, Nova Scotia, celebrated for its dramatic cliffside holes and sweeping views of the Gulf of St. Lawrence.
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_69e2fac3fdbc81909c2ec49be5743cd9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f42309efec8190a023216c6205b3ae |
completed | May 1, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a101c5fef3481908ea7cf98f69bbdfd |
completed | May 22, 2026, 9:05 a.m. |
| NEDg | Description generation | batch_6a10239f8bc48190bda86d4b1fa21518 |
completed | May 22, 2026, 9:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a10241703c48190bbc93cdfa73dc9f2 |
completed | May 22, 2026, 9:38 a.m. |
Created at: April 18, 2026, 5:23 a.m.