Triple
T2993830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carmelo |
E81018
|
entity |
| Predicate | etymologicalOrigin |
P453
|
FINISHED |
| Object |
Carmel
Carmel is a biblical place name of Hebrew origin, commonly used as a given name and meaning "vineyard" or "garden."
|
E320971
|
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: Carmel | Statement: [Carmelo, etymologicalOrigin, Carmel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carmel Context triple: [Carmelo, etymologicalOrigin, Carmel]
-
A.
Carmel, New York
Carmel, New York is a suburban town in Putnam County that serves as the county seat and is part of the greater New York City metropolitan area.
-
B.
Canton
Canton is the historical Western name for Guangzhou, a major port city in southern China and the capital of Guangdong province.
-
C.
Canton
Canton is a suburban town in Norfolk County, Massachusetts, located southwest of Boston and known for its residential character and local historic sites.
-
D.
Canton
Canton is a small New England town in Hartford County, Connecticut, known for its historic village centers and scenic Farmington River setting.
-
E.
Westville
Westville is a residential and arts-oriented neighborhood located in the western part of New Haven, Connecticut.
- 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: Carmel Triple: [Carmelo, etymologicalOrigin, Carmel]
Generated description
Carmel is a biblical place name of Hebrew origin, commonly used as a given name and meaning "vineyard" or "garden."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carmel Target entity description: Carmel is a biblical place name of Hebrew origin, commonly used as a given name and meaning "vineyard" or "garden."
-
A.
Carmel, New York
Carmel, New York is a suburban town in Putnam County that serves as the county seat and is part of the greater New York City metropolitan area.
-
B.
Canton
Canton is the historical Western name for Guangzhou, a major port city in southern China and the capital of Guangdong province.
-
C.
Canton
Canton is a suburban town in Norfolk County, Massachusetts, located southwest of Boston and known for its residential character and local historic sites.
-
D.
Canton
Canton is a small New England town in Hartford County, Connecticut, known for its historic village centers and scenic Farmington River setting.
-
E.
Westville
Westville is a residential and arts-oriented neighborhood located in the western part of New Haven, Connecticut.
- 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99e291e0819089f81c0a7d7a6cd9 |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1de9d8f6c81909c216efbf2f720fc |
completed | March 11, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69b1dfa2fb28819089d7d76d9dc72e06 |
completed | March 11, 2026, 9:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1e0243a848190bce24d035a79fc0a |
completed | March 11, 2026, 9:35 p.m. |
Created at: March 8, 2026, 2:59 p.m.