Triple
T6111857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spryfield |
E136259
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Sambro
Sambro is a coastal community in Nova Scotia, Canada, known for its historic lighthouse and long-standing fishing heritage.
|
E569240
|
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: Sambro | Statement: [Spryfield, locatedNear, Sambro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sambro Context triple: [Spryfield, locatedNear, Sambro]
-
A.
Sawahlunto
Sawahlunto is a historic former coal-mining town in Indonesia known for its well-preserved colonial-era architecture and recognition as a UNESCO World Heritage Site.
-
B.
Padang Dinka
Padang Dinka is a major dialect of the Dinka language spoken primarily by the Padang subgroup of the Dinka people in South Sudan.
-
C.
Kudat
Kudat is a coastal town and district in northern Sabah, Malaysia, known as a gateway to the Tip of Borneo and for its fishing and Rungus cultural heritage.
-
D.
Bachok
Bachok is a coastal town and district in the Malaysian state of Kelantan, known for its beaches and traditional Malay fishing villages.
-
E.
Kampar
Kampar is a town and district in Perak, Malaysia, historically notable as the site of a major World War II battle between British Commonwealth and Japanese forces.
- 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: Sambro Triple: [Spryfield, locatedNear, Sambro]
Generated description
Sambro is a coastal community in Nova Scotia, Canada, known for its historic lighthouse and long-standing fishing heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sambro Target entity description: Sambro is a coastal community in Nova Scotia, Canada, known for its historic lighthouse and long-standing fishing heritage.
-
A.
Sawahlunto
Sawahlunto is a historic former coal-mining town in Indonesia known for its well-preserved colonial-era architecture and recognition as a UNESCO World Heritage Site.
-
B.
Padang Dinka
Padang Dinka is a major dialect of the Dinka language spoken primarily by the Padang subgroup of the Dinka people in South Sudan.
-
C.
Kudat
Kudat is a coastal town and district in northern Sabah, Malaysia, known as a gateway to the Tip of Borneo and for its fishing and Rungus cultural heritage.
-
D.
Bachok
Bachok is a coastal town and district in the Malaysian state of Kelantan, known for its beaches and traditional Malay fishing villages.
-
E.
Kampar
Kampar is a town and district in Perak, Malaysia, historically notable as the site of a major World War II battle between British Commonwealth and Japanese forces.
- 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_69c0089ea6f88190b349be53e04b4f5f |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bbde2048190909aa3a8097bcf93 |
completed | March 22, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c125631e008190921206b9e355202b |
completed | March 23, 2026, 11:34 a.m. |
| NEDg | Description generation | batch_69c1281a40a0819083e1ed6fe5433016 |
completed | March 23, 2026, 11:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c12891264c81908eec332350863b4a |
completed | March 23, 2026, 11:48 a.m. |
Created at: March 22, 2026, 4:13 p.m.