Triple
T12622923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mendlesham |
E301432
|
entity |
| Predicate | parishIncludes |
P38128
|
FINISHED |
| Object |
Tan Office
Tan Office is a small locality within the civil parish of Mendlesham in Suffolk, England.
|
E992920
|
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: Tan Office | Statement: [Mendlesham, parishIncludes, Tan Office]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tan Office Context triple: [Mendlesham, parishIncludes, Tan Office]
-
A.
Tandanus
Tandanus is a genus of freshwater eeltail catfishes native to Australia, known for their elongated bodies and barbels.
-
B.
Tawani Enterprises
Tawani Enterprises is a private investment and management company associated with the Pritzker family, focusing on real estate, hospitality, and philanthropic initiatives.
-
C.
Tayasan
Tayasan is a coastal municipality in the province of Negros Oriental in the Philippines, known for its rural communities and agricultural economy.
-
D.
T.A.T. Communications Company
T.A.T. Communications Company was a television production company best known for producing popular American sitcoms in the 1970s and 1980s.
-
E.
Teclea
Teclea is a genus of flowering plants in the citrus family Rutaceae, native to parts of Africa and known for its aromatic foliage.
- 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: Tan Office Triple: [Mendlesham, parishIncludes, Tan Office]
Generated description
Tan Office is a small locality within the civil parish of Mendlesham in Suffolk, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tan Office Target entity description: Tan Office is a small locality within the civil parish of Mendlesham in Suffolk, England.
-
A.
Tandanus
Tandanus is a genus of freshwater eeltail catfishes native to Australia, known for their elongated bodies and barbels.
-
B.
Tawani Enterprises
Tawani Enterprises is a private investment and management company associated with the Pritzker family, focusing on real estate, hospitality, and philanthropic initiatives.
-
C.
Tayasan
Tayasan is a coastal municipality in the province of Negros Oriental in the Philippines, known for its rural communities and agricultural economy.
-
D.
T.A.T. Communications Company
T.A.T. Communications Company was a television production company best known for producing popular American sitcoms in the 1970s and 1980s.
-
E.
Teclea
Teclea is a genus of flowering plants in the citrus family Rutaceae, native to parts of Africa and known for its aromatic foliage.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d960c8671881909a102d28b0e7f603 |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ed6f79881908872c644a9789f04 |
completed | May 2, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f660294004819089714099a08085f6 |
completed | May 2, 2026, 8:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6613ce1108190851cf8491fe666c8 |
completed | May 2, 2026, 8:40 p.m. |
Created at: April 9, 2026, 5:14 p.m.