Triple
T23558301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coleman, Texas |
E579149
|
entity |
| Predicate | hasNearbyWaterBody |
P1489
|
FINISHED |
| Object |
Lake Coleman
Lake Coleman is a reservoir near Coleman, Texas, used primarily for water supply, fishing, and recreational activities.
|
E1591088
|
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: Lake Coleman | Statement: [Coleman, Texas, hasNearbyWaterBody, Lake Coleman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Coleman Context triple: [Coleman, Texas, hasNearbyWaterBody, Lake Coleman]
-
A.
Lake Coleman
Lake Coleman is a coastal lake within Victoria’s Gippsland Lakes system in southeastern Australia, known for its shallow waters and surrounding wetland habitats.
-
B.
Lake Hunt
Lake Hunt is a small recreational lake located in or near Reidsville, North Carolina.
-
C.
White Rock Lake
White Rock Lake is a large urban reservoir and popular recreational area in east Dallas, Texas, known for its scenic trails, wildlife, and views of the city.
-
D.
Lake Greenwood
Lake Greenwood is a large man-made reservoir in South Carolina known for boating, fishing, and lakeside recreation.
-
E.
Brantley Lake
Brantley Lake is a reservoir in southeastern New Mexico known for fishing, boating, and other recreational activities within Brantley Lake State 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: Lake Coleman Triple: [Coleman, Texas, hasNearbyWaterBody, Lake Coleman]
Generated description
Lake Coleman is a reservoir near Coleman, Texas, used primarily for water supply, fishing, and recreational activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lake Coleman Target entity description: Lake Coleman is a reservoir near Coleman, Texas, used primarily for water supply, fishing, and recreational activities.
-
A.
Lake Coleman
Lake Coleman is a coastal lake within Victoria’s Gippsland Lakes system in southeastern Australia, known for its shallow waters and surrounding wetland habitats.
-
B.
Lake Hunt
Lake Hunt is a small recreational lake located in or near Reidsville, North Carolina.
-
C.
White Rock Lake
White Rock Lake is a large urban reservoir and popular recreational area in east Dallas, Texas, known for its scenic trails, wildlife, and views of the city.
-
D.
Lake Greenwood
Lake Greenwood is a large man-made reservoir in South Carolina known for boating, fishing, and lakeside recreation.
-
E.
Brantley Lake
Brantley Lake is a reservoir in southeastern New Mexico known for fishing, boating, and other recreational activities within Brantley Lake State 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_69e245fe24588190888f3aec8407d8e3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1af6663e0819081d654da38cf3aa9 |
completed | April 29, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0cdf69e8c88190bb80ece5ab1aa32d |
completed | May 19, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_6a0ce14b83108190a2bf5969f15b0dfe |
completed | May 19, 2026, 10:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ce203ec688190a7a88c9ddd824bb7 |
completed | May 19, 2026, 10:19 p.m. |
Created at: April 17, 2026, 6:12 p.m.