Triple
T18123983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borthwick, Midlothian, Scotland |
E433819
|
entity |
| Predicate | hasNearbyParish |
P4647
|
FINISHED |
| Object |
Temple
Temple is a small historic village and parish in Midlothian, Scotland, traditionally associated with the medieval Knights Templar.
|
E1307093
|
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: Temple | Statement: [Borthwick, Midlothian, Scotland, hasNearbyParish, Temple]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Temple Context triple: [Borthwick, Midlothian, Scotland, hasNearbyParish, Temple]
-
A.
Temple
Temple is a historic legal district in central London, renowned for housing the Inns of Court and many barristers’ chambers.
-
B.
Temple
Temple is a surname of English origin borne by various notable individuals across fields such as politics, sports, and the arts.
-
C.
Temple
Temple is a song featured on the soundtrack of the rhythm game Mechanical Bull.
-
D.
Temple
"Temple" is a British television drama series produced by Liza Marshall, centered on an underground clinic beneath London where a surgeon treats criminals and desperate patients.
-
E.
Temple
The Temple is a massive, ancient stone structure carved into a seaside cliff in Beach City that serves as the mystical home and base of operations for the Crystal Gems in the animated series "Steven Universe."
- 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: Temple Triple: [Borthwick, Midlothian, Scotland, hasNearbyParish, Temple]
Generated description
Temple is a small historic village and parish in Midlothian, Scotland, traditionally associated with the medieval Knights Templar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Temple Target entity description: Temple is a small historic village and parish in Midlothian, Scotland, traditionally associated with the medieval Knights Templar.
-
A.
Temple
Temple is a historic legal district in central London, renowned for housing the Inns of Court and many barristers’ chambers.
-
B.
Temple
Temple is a mid-sized city in central Texas known as a regional medical and transportation hub.
-
C.
Temple
Temple is a surname of English origin borne by various notable individuals across fields such as politics, sports, and the arts.
-
D.
Temple
Temple is a Paris Métro station in central Paris, serving line 3 near the Place de la République.
-
E.
Temple
The Temple is a massive, ancient stone structure carved into a seaside cliff in Beach City that serves as the mystical home and base of operations for the Crystal Gems in the animated series "Steven Universe."
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddebeae88190ae50e9a258b34dbe |
completed | April 19, 2026, 1:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a037c4590108190b30a4f90aea27301 |
completed | May 12, 2026, 7:15 p.m. |
| NEDg | Description generation | batch_6a037cfd596481909d0c361a11185194 |
completed | May 12, 2026, 7:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a037e7bbd1c8190a88f57cdf5bf30f5 |
completed | May 12, 2026, 7:24 p.m. |
Created at: April 10, 2026, 10:28 a.m.