Triple
T20481822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mutton Brook |
E502473
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Big Wood
Big Wood is a woodland area in north London, England, known for its mature trees, wildlife habitat, and recreational walking paths.
|
E1434413
|
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: Big Wood | Statement: [Mutton Brook, flowsThrough, Big Wood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Wood Context triple: [Mutton Brook, flowsThrough, Big Wood]
-
A.
Big Oak
Big Oak is a famous centuries-old live oak tree in Thomasville, Georgia, renowned for its massive size and historic significance.
-
B.
How Wood
How Wood is a residential suburb and railway-served locality near St Albans in Hertfordshire, England.
-
C.
Gelt Woods
Gelt Woods is a scenic woodland and river gorge in Cumbria, England, known for its walking trails, wildlife, and historic sandstone carvings.
-
D.
Backus Woods
Backus Woods is a significant old-growth Carolinian forest and conservation area in southern Ontario, known for its rich biodiversity and protected natural habitats.
-
E.
De Wood
De Wood is a specific variant or form of wood distinguished from the general category of wood materials.
- 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: Big Wood Triple: [Mutton Brook, flowsThrough, Big Wood]
Generated description
Big Wood is a woodland area in north London, England, known for its mature trees, wildlife habitat, and recreational walking paths.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Big Wood Target entity description: Big Wood is a woodland area in north London, England, known for its mature trees, wildlife habitat, and recreational walking paths.
-
A.
Big Oak
Big Oak is a famous centuries-old live oak tree in Thomasville, Georgia, renowned for its massive size and historic significance.
-
B.
How Wood
How Wood is a residential suburb and railway-served locality near St Albans in Hertfordshire, England.
-
C.
Gelt Woods
Gelt Woods is a scenic woodland and river gorge in Cumbria, England, known for its walking trails, wildlife, and historic sandstone carvings.
-
D.
Backus Woods
Backus Woods is a significant old-growth Carolinian forest and conservation area in southern Ontario, known for its rich biodiversity and protected natural habitats.
-
E.
De Wood
De Wood is a specific variant or form of wood distinguished from the general category of wood materials.
- 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b57fa9c819091d12320d46a0cee |
completed | April 20, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0893ae04f481908da8206dfba0b463 |
completed | May 16, 2026, 3:56 p.m. |
| NEDg | Description generation | batch_6a0894c4c8b88190b2ac594477811c7b |
completed | May 16, 2026, 4:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08954be2688190a51911d6922a6413 |
completed | May 16, 2026, 4:03 p.m. |
Created at: April 16, 2026, 11:34 a.m.