Triple
T12529569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crosby County |
E299524
|
entity |
| Predicate | containsCommunity |
P8617
|
FINISHED |
| Object |
Cone
Cone is a small unincorporated rural community located in Crosby County in the U.S. state of Texas.
|
E986218
|
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: Cone | Statement: [Crosby County, containsCommunity, Cone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cone Context triple: [Crosby County, containsCommunity, Cone]
-
A.
Cone
Cone is a surname most notably associated with David Cone, a former Major League Baseball pitcher and five-time World Series champion.
-
B.
Cone Collection
The Cone Collection is a renowned assemblage of modern art, particularly strong in works by Matisse and Picasso, housed at the Baltimore Museum of Art.
-
C.
Ventana Double Cone
Ventana Double Cone is a prominent, remote peak in California’s Santa Lucia Range known for its rugged terrain, panoramic coastal and inland views, and challenging backcountry access.
-
D.
Passu Cones
Passu Cones are a striking group of sharply pointed mountain peaks in Pakistan’s Hunza Valley, renowned for their dramatic, jagged skyline within the Karakoram range.
-
E.
Giant Cone
Giant Cone is a popular Japanese ice cream brand known for its large, cone-shaped treats produced by Ezaki Glico.
- 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: Cone Triple: [Crosby County, containsCommunity, Cone]
Generated description
Cone is a small unincorporated rural community located in Crosby County in the U.S. state of Texas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cone Target entity description: Cone is a small unincorporated rural community located in Crosby County in the U.S. state of Texas.
-
A.
Cone
Cone is a surname most notably associated with David Cone, a former Major League Baseball pitcher and five-time World Series champion.
-
B.
Cone Collection
The Cone Collection is a renowned assemblage of modern art, particularly strong in works by Matisse and Picasso, housed at the Baltimore Museum of Art.
-
C.
Ventana Double Cone
Ventana Double Cone is a prominent, remote peak in California’s Santa Lucia Range known for its rugged terrain, panoramic coastal and inland views, and challenging backcountry access.
-
D.
Passu Cones
Passu Cones are a striking group of sharply pointed mountain peaks in Pakistan’s Hunza Valley, renowned for their dramatic, jagged skyline within the Karakoram range.
-
E.
Giant Cone
Giant Cone is a popular Japanese ice cream brand known for its large, cone-shaped treats produced by Ezaki Glico.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95469d100819087c83bc55e3ec9ce |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bc674e881908673e1f9103cc8be |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64c7d337c81909ee9ea52158a756f |
completed | May 2, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64d653b988190b11d061f55ef7192 |
completed | May 2, 2026, 7:15 p.m. |
Created at: April 8, 2026, 9:57 p.m.