Triple
T14573567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodward County |
E341979
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Town of Mooreland
The Town of Mooreland is a small rural municipality located in northwestern Oklahoma in the United States.
|
E1105841
|
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: Town of Mooreland | Statement: [Woodward County, contains, Town of Mooreland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Town of Mooreland Context triple: [Woodward County, contains, Town of Mooreland]
-
A.
Moore Township
Moore Township was a former municipality in Ontario, Canada, that later became part of St. Clair Township through amalgamation.
-
B.
Town of Mooers
The Town of Mooers is a small rural municipality in northern New York State near the Canadian border, characterized by its agricultural landscape and close-knit community.
-
C.
Tylorstown
Tylorstown is a former coal mining village in the Rhondda Fach valley in Rhondda Cynon Taf, Wales.
-
D.
Murrayville
Murrayville is a historic residential neighbourhood in the Township of Langley, British Columbia, known for its village-style center and community amenities.
-
E.
Shingletown
Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
- 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: Town of Mooreland Triple: [Woodward County, contains, Town of Mooreland]
Generated description
The Town of Mooreland is a small rural municipality located in northwestern Oklahoma in the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Town of Mooreland Target entity description: The Town of Mooreland is a small rural municipality located in northwestern Oklahoma in the United States.
-
A.
Moore Township
Moore Township was a former municipality in Ontario, Canada, that later became part of St. Clair Township through amalgamation.
-
B.
Town of Mooers
The Town of Mooers is a small rural municipality in northern New York State near the Canadian border, characterized by its agricultural landscape and close-knit community.
-
C.
Tylorstown
Tylorstown is a former coal mining village in the Rhondda Fach valley in Rhondda Cynon Taf, Wales.
-
D.
Murrayville
Murrayville is a historic residential neighbourhood in the Township of Langley, British Columbia, known for its village-style center and community amenities.
-
E.
Shingletown
Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f33b1c8190bb447788bfd28d51 |
completed | April 14, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8acc788081909c41905785fa9a29 |
completed | May 8, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_69fd8be7d8988190807d4db477b91de0 |
completed | May 8, 2026, 7:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8d506df4819092b52b0dde04bb4d |
completed | May 8, 2026, 7:14 a.m. |
Created at: April 10, 2026, 1:24 a.m.