Triple
T11919569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chard |
E283618
|
entity |
| Predicate | postalTown |
P2711
|
FINISHED |
| Object |
CHARD
CHARD is a small market town in Somerset, England, known as the southernmost town in the county and for its historic role in the lace-making industry.
|
E954511
|
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: CHARD | Statement: [Chard, postalTown, CHARD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CHARD Context triple: [Chard, postalTown, CHARD]
-
A.
Lauch
The Lauch is a river in northeastern France that flows through the Alsace region, notably passing through the town of Guebwiller before joining the Ill.
-
B.
Chaam
Chaam is a village in the Dutch province of North Brabant, known for its rural character and historic ties to the Baronie of Breda.
-
C.
Scharloo
Scharloo is a historic neighborhood in Willemstad, Curaçao, known for its well-preserved colonial architecture and former Jewish merchant mansions.
-
D.
Chou
Chou is a romanized spelling commonly used to represent the Japanese name "Chō" in English and other Latin-alphabet contexts.
-
E.
Chou
Chou is the comic or clown role type in traditional Chinese Peking opera, known for its humorous, witty, and often satirical performances.
- 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: CHARD Triple: [Chard, postalTown, CHARD]
Generated description
CHARD is a small market town in Somerset, England, known as the southernmost town in the county and for its historic role in the lace-making industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CHARD Target entity description: CHARD is a small market town in Somerset, England, known as the southernmost town in the county and for its historic role in the lace-making industry.
-
A.
Lauch
The Lauch is a river in northeastern France that flows through the Alsace region, notably passing through the town of Guebwiller before joining the Ill.
-
B.
Chaam
Chaam is a village in the Dutch province of North Brabant, known for its rural character and historic ties to the Baronie of Breda.
-
C.
Scharloo
Scharloo is a historic neighborhood in Willemstad, Curaçao, known for its well-preserved colonial architecture and former Jewish merchant mansions.
-
D.
Chou
Chou is a romanized spelling commonly used to represent the Japanese name "Chō" in English and other Latin-alphabet contexts.
-
E.
Chou
Chou is the comic or clown role type in traditional Chinese Peking opera, known for its humorous, witty, and often satirical performances.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8dff77481908cacf6ad03df34ac |
completed | April 10, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f440247cf4819084567f6e1005ef04 |
completed | May 1, 2026, 5:54 a.m. |
| NEDg | Description generation | batch_69f448fa8eec81909fe6ac0902f46998 |
completed | May 1, 2026, 6:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f44aef15148190ba8090681b921ffa |
completed | May 1, 2026, 6:40 a.m. |
Created at: April 8, 2026, 9:44 p.m.