Triple
T12819057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pembrokeshire Coast Path |
E306479
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Marloes
Marloes is a coastal village in Pembrokeshire, Wales, known for its dramatic cliffs, nearby islands rich in wildlife, and scenic seaside landscapes.
|
E1004357
|
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: Marloes | Statement: [Pembrokeshire Coast Path, passesThrough, Marloes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marloes Context triple: [Pembrokeshire Coast Path, passesThrough, Marloes]
-
A.
Saskia
Saskia is a female given name of Germanic origin, most famously borne by Saskia van Uylenburgh, the wife and frequent model of the Dutch painter Rembrandt.
-
B.
Marike
Marike is a feminine given name of Dutch and Afrikaans origin, commonly used in the Netherlands and South Africa.
-
C.
Jolanda
Jolanda is a feminine given name, commonly considered a variant of Yolanda, used in various European countries.
-
D.
Marlies
Marlies is the common nickname for the Toronto Marlboros, a historic Canadian junior ice hockey team based in Toronto.
-
E.
Danais Wynnycka
Danais Wynnycka is a member of the musical group Arco Iris.
- 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: Marloes Triple: [Pembrokeshire Coast Path, passesThrough, Marloes]
Generated description
Marloes is a coastal village in Pembrokeshire, Wales, known for its dramatic cliffs, nearby islands rich in wildlife, and scenic seaside landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marloes Target entity description: Marloes is a coastal village in Pembrokeshire, Wales, known for its dramatic cliffs, nearby islands rich in wildlife, and scenic seaside landscapes.
-
A.
Saskia
Saskia is a female given name of Germanic origin, most famously borne by Saskia van Uylenburgh, the wife and frequent model of the Dutch painter Rembrandt.
-
B.
Marike
Marike is a feminine given name of Dutch and Afrikaans origin, commonly used in the Netherlands and South Africa.
-
C.
Jolanda
Jolanda is a feminine given name, commonly considered a variant of Yolanda, used in various European countries.
-
D.
Marlies
Marlies is the common nickname for the Toronto Marlboros, a historic Canadian junior ice hockey team based in Toronto.
-
E.
Danais Wynnycka
Danais Wynnycka is a member of the musical group Arco Iris.
- 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e9e5a2481908921d097df541db8 |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68ecee33c8190a6bf045731bb9326 |
completed | May 2, 2026, 11:54 p.m. |
| NEDg | Description generation | batch_69f691341d0081909ca3b281ee64b42b |
completed | May 3, 2026, 12:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f692361c3c81909078a19be1a86231 |
completed | May 3, 2026, 12:09 a.m. |
Created at: April 9, 2026, 5:31 p.m.