Triple
T20829495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Markstay-Warren |
E512790
|
entity |
| Predicate | hasCommunity |
P2605
|
FINISHED |
| Object |
Warren
Warren is a small community that forms part of the municipality of Markstay-Warren in Ontario, Canada.
|
E1452621
|
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: Warren | Statement: [Markstay-Warren, hasCommunity, Warren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warren Context triple: [Markstay-Warren, hasCommunity, Warren]
-
A.
Warren
Warren is a common English surname borne by numerous notable figures in politics, law, entertainment, and other fields.
-
B.
Warren
Warren is a small city in northern Pennsylvania known for its historic downtown and location along the Allegheny River.
-
C.
Warren
Warren is a central character in Robert Frost's narrative poem "The Death of the Hired Man," depicted as a New England farmer whose conflicted sense of duty and forgiveness shapes the story's moral tension.
-
D.
Warren
Warren is the given name of Warren E. Burger, the 15th Chief Justice of the United States Supreme Court.
-
E.
Warren
Warren is a mid-sized industrial city in northeastern Ohio known historically for its role in the steel and automotive industries.
- 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: Warren Triple: [Markstay-Warren, hasCommunity, Warren]
Generated description
Warren is a small community that forms part of the municipality of Markstay-Warren in Ontario, Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Warren Target entity description: Warren is a small community that forms part of the municipality of Markstay-Warren in Ontario, Canada.
-
A.
Warren
Warren is a rural town in the Orana region of New South Wales, Australia, known for its agriculture and proximity to the Macquarie River.
-
B.
Warren
Warren is a small city in northern Pennsylvania known for its historic downtown and location along the Allegheny River.
-
C.
Warren
Warren is a mid-sized industrial city in northeastern Ohio known historically for its role in the steel and automotive industries.
-
D.
Warren
Warren is a large suburban city in southeast Michigan known for its extensive automotive and defense manufacturing industries.
-
E.
Warren
Warren is a historic residential neighborhood in Bisbee, Arizona, known for its early 20th-century planned layout and distinctive architecture.
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c32030c081908249449aae5925c8 |
completed | April 21, 2026, 12:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0900808ae48190ad706c5de31acbd4 |
completed | May 16, 2026, 11:40 p.m. |
| NEDg | Description generation | batch_6a09016ee480819085bfe8ab3ee79b88 |
completed | May 16, 2026, 11:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09024abbd081908d47b3f9f5d28561 |
completed | May 16, 2026, 11:48 p.m. |
Created at: April 16, 2026, 12:42 p.m.