Triple
T11647848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alpine, Texas |
E276819
|
entity |
| Predicate | hasNearbyTown |
P3883
|
FINISHED |
| Object |
Marathon, Texas
Marathon, Texas is a small unincorporated town in Brewster County known as a gateway to Big Bend National Park and the scenic Big Bend region of West Texas.
|
E938887
|
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: Marathon, Texas | Statement: [Alpine, Texas, hasNearbyTown, Marathon, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marathon, Texas Context triple: [Alpine, Texas, hasNearbyTown, Marathon, Texas]
-
A.
Mart, Texas
Mart, Texas is a small rural city in Central Texas known for its tight-knit community and agricultural surroundings.
-
B.
Marshall, Texas
Marshall, Texas is a small city in East Texas known as a regional cultural and educational center and for its prominence in federal patent litigation.
-
C.
Mission, Texas
Mission, Texas is a city in the Rio Grande Valley in southern Texas, known for its agricultural industry and proximity to the U.S.–Mexico border.
-
D.
Millican, Texas
Millican, Texas is a small rural community in east-central Texas known for its historic role as an early railroad town.
-
E.
Murchison, Texas
Murchison, Texas is a small rural city located in eastern Texas within Henderson County.
- 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: Marathon, Texas Triple: [Alpine, Texas, hasNearbyTown, Marathon, Texas]
Generated description
Marathon, Texas is a small unincorporated town in Brewster County known as a gateway to Big Bend National Park and the scenic Big Bend region of West Texas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marathon, Texas Target entity description: Marathon, Texas is a small unincorporated town in Brewster County known as a gateway to Big Bend National Park and the scenic Big Bend region of West Texas.
-
A.
Mart, Texas
Mart, Texas is a small rural city in Central Texas known for its tight-knit community and agricultural surroundings.
-
B.
Marshall, Texas
Marshall, Texas is a small city in East Texas known as a regional cultural and educational center and for its prominence in federal patent litigation.
-
C.
Mission, Texas
Mission, Texas is a city in the Rio Grande Valley in southern Texas, known for its agricultural industry and proximity to the U.S.–Mexico border.
-
D.
Millican, Texas
Millican, Texas is a small rural community in east-central Texas known for its historic role as an early railroad town.
-
E.
Murchison, Texas
Murchison, Texas is a small rural city located in eastern Texas within Henderson County.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a2cd9bb0819093d107204bed2fe0 |
completed | April 10, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee87f903c48190b9055ad4cfebb1e1 |
completed | April 26, 2026, 9:47 p.m. |
| NEDg | Description generation | batch_69eeb314eef0819091a949bbfc820ee9 |
completed | April 27, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69eee9a79d348190bb3e15f0d37b9d57 |
completed | April 27, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:39 p.m.