Triple
T12586143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parchment, Michigan |
E300466
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object |
Parchment
Parchment is a small city in Kalamazoo County, Michigan, historically known for its paper mill industry and residential community.
|
E992634
|
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: Parchment | Statement: [Parchment, Michigan, hasName, Parchment]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parchment Context triple: [Parchment, Michigan, hasName, Parchment]
-
A.
Pergamino
Pergamino is a city in the Buenos Aires Province of Argentina, known as an important agricultural and commercial center in the Pampas region.
-
B.
Papel
Papel is an indigenous language of Guinea-Bissau spoken primarily by the Papel people in the coastal regions around Bissau.
-
C.
Papper
Papper is one of the islands in the Hvaler archipelago in southeastern Norway, known for its coastal scenery and holiday cottages.
-
D.
Pades
Pades is a village in northwestern Greece located in the mountainous region near Mount Smolikas.
-
E.
Liquid Paper
Liquid Paper is a popular correction fluid product used to cover and correct handwritten or typed errors on paper.
- 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: Parchment Triple: [Parchment, Michigan, hasName, Parchment]
Generated description
Parchment is a small city in Kalamazoo County, Michigan, historically known for its paper mill industry and residential community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Parchment Target entity description: Parchment is a small city in Kalamazoo County, Michigan, historically known for its paper mill industry and residential community.
-
A.
Pergamino
Pergamino is a city in the Buenos Aires Province of Argentina, known as an important agricultural and commercial center in the Pampas region.
-
B.
Papel
Papel is an indigenous language of Guinea-Bissau spoken primarily by the Papel people in the coastal regions around Bissau.
-
C.
Papper
Papper is one of the islands in the Hvaler archipelago in southeastern Norway, known for its coastal scenery and holiday cottages.
-
D.
Pades
Pades is a village in northwestern Greece located in the mountainous region near Mount Smolikas.
-
E.
Liquid Paper
Liquid Paper is a popular correction fluid product used to cover and correct handwritten or typed errors on paper.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954bbe72c8190aa11090bb6b480c9 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ebed164819083fbdaa775a59cd4 |
completed | May 2, 2026, 8:29 p.m. |
| NEDg | Description generation | batch_69f66088890c8190b67a958d7f0822a6 |
completed | May 2, 2026, 8:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6613ce1108190851cf8491fe666c8 |
completed | May 2, 2026, 8:40 p.m. |
Created at: April 9, 2026, 5:05 p.m.