Triple
T2647797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Texas |
E53824
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Midland
Midland is a city in the Permian Basin region of West Texas known for its pivotal role in the oil and gas industry.
|
E287194
|
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: Midland | Statement: [West Texas, contains, Midland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Midland Context triple: [West Texas, contains, Midland]
-
A.
Livingston
Livingston is a large post-war new town in West Lothian, Scotland, known as a major residential and commercial centre within the Edinburgh commuter belt.
-
B.
Livingston
Livingston is a small city in western Alabama known as the home of the University of West Alabama.
-
C.
Livingston
Livingston is a residential neighborhood on Staten Island, New York City, known for its historic character and proximity to cultural institutions like Snug Harbor.
-
D.
Livingston
Livingston is a prominent American family name historically associated with influential political figures, landowners, and statesmen, particularly in New York.
-
E.
Cumming
Cumming is a small city in Forsyth County, Georgia, known as a suburban community within the Atlanta metropolitan area.
- 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: Midland Triple: [West Texas, contains, Midland]
Generated description
Midland is a city in the Permian Basin region of West Texas known for its pivotal role in the oil and gas industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Midland Target entity description: Midland is a city in the Permian Basin region of West Texas known for its pivotal role in the oil and gas industry.
-
A.
Livingston
Livingston is a prominent American family name historically associated with influential political figures, landowners, and statesmen, particularly in New York.
-
B.
Livingston
Livingston is a large post-war new town in West Lothian, Scotland, known as a major residential and commercial centre within the Edinburgh commuter belt.
-
C.
Livingston
Livingston is a small city in western Alabama known as the home of the University of West Alabama.
-
D.
Livingston
Livingston is a residential neighborhood on Staten Island, New York City, known for its historic character and proximity to cultural institutions like Snug Harbor.
-
E.
Cumming
Cumming is a small city in Forsyth County, Georgia, known as a suburban community within the Atlanta metropolitan area.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd919bf2c81908feb768f3391e985 |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa050cc408190b2fa81a0f2da06eb |
completed | March 10, 2026, 4:38 a.m. |
| NEDg | Description generation | batch_69afa09767f88190a85373ddd2289dd4 |
completed | March 10, 2026, 4:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afa14d114c81908cc3bad5935a24b6 |
completed | March 10, 2026, 4:42 a.m. |
Created at: March 6, 2026, 9:53 p.m.