Triple
T15116190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yancowinna County |
E361044
|
entity |
| Predicate | hasNeighboringCounty |
P6346
|
FINISHED |
| Object |
Windeyer County
Windeyer County is a cadastral division in New South Wales, Australia, used for land administration and property title purposes.
|
E1170443
|
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: Windeyer County | Statement: [Yancowinna County, hasNeighboringCounty, Windeyer County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Windeyer County Context triple: [Yancowinna County, hasNeighboringCounty, Windeyer County]
-
A.
Van Zandt County
Van Zandt County is a rural county in northeastern Texas known for its agricultural heritage and small-town communities.
-
B.
McCracken County
McCracken County is a county in western Kentucky best known for its seat, the river city of Paducah, a regional hub for commerce, healthcare, and education.
-
C.
Ochiltree County
Ochiltree County is a rural county in the northern Texas Panhandle known for its agriculture-based economy and small-town communities.
-
D.
Dooly County
Dooly County is a rural county in central Georgia known for its agricultural economy and small-town communities.
-
E.
Mills County
Mills County is a rural county in the southwestern part of the U.S. state of Iowa, known for its agricultural landscape and small communities.
- 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: Windeyer County Triple: [Yancowinna County, hasNeighboringCounty, Windeyer County]
Generated description
Windeyer County is a cadastral division in New South Wales, Australia, used for land administration and property title purposes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Windeyer County Target entity description: Windeyer County is a cadastral division in New South Wales, Australia, used for land administration and property title purposes.
-
A.
Van Zandt County
Van Zandt County is a rural county in northeastern Texas known for its agricultural heritage and small-town communities.
-
B.
McCracken County
McCracken County is a county in western Kentucky best known for its seat, the river city of Paducah, a regional hub for commerce, healthcare, and education.
-
C.
Ochiltree County
Ochiltree County is a rural county in the northern Texas Panhandle known for its agriculture-based economy and small-town communities.
-
D.
Dooly County
Dooly County is a rural county in central Georgia known for its agricultural economy and small-town communities.
-
E.
Mills County
Mills County is a rural county in the southwestern part of the U.S. state of Iowa, known for its agricultural landscape and small communities.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0059ca9048190b742e70e818ee64f |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ec2f35c8190a96af080cd7b6d0e |
completed | May 9, 2026, 5:28 p.m. |
| NEDg | Description generation | batch_69ff6f3dded48190a5ede571862de057 |
completed | May 9, 2026, 5:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff6fa74b1c8190a7ceb63943639793 |
completed | May 9, 2026, 5:32 p.m. |
Created at: April 10, 2026, 3:05 a.m.