Triple
T6693654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dallas urban area |
E152689
|
entity |
| Predicate | hasSuburb |
P747
|
FINISHED |
| Object |
Lake Dallas
Lake Dallas is a small suburban city in North Texas that forms part of the greater Dallas–Fort Worth metropolitan area.
|
E614272
|
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 Dallas | Statement: [Dallas urban area, hasSuburb, Lake Dallas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Dallas Context triple: [Dallas urban area, hasSuburb, Lake Dallas]
-
A.
Lake Hunt
Lake Hunt is a small recreational lake located in or near Reidsville, North Carolina.
-
B.
Double Oak Lake
Double Oak Lake is a scenic recreational lake within Alabama’s Oak Mountain State Park, popular for activities such as swimming, fishing, and boating.
-
C.
Lake Taneycomo
Lake Taneycomo is a cold, trout-filled reservoir in the Ozark Mountains of southwest Missouri that combines features of both a river and a lake and is popular for fishing and outdoor recreation.
-
D.
Lake Meredith
Lake Meredith is a reservoir in southeastern Colorado known for recreation such as boating, fishing, and camping in a semi-arid plains setting.
-
E.
Lake Meredith
Lake Meredith is a major man-made reservoir in the Texas Panhandle that serves as a key water supply and recreation area for the surrounding region.
- 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 Dallas Triple: [Dallas urban area, hasSuburb, Lake Dallas]
Generated description
Lake Dallas is a small suburban city in North Texas that forms part of the greater Dallas–Fort Worth metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lake Dallas Target entity description: Lake Dallas is a small suburban city in North Texas that forms part of the greater Dallas–Fort Worth metropolitan area.
-
A.
Lake Hunt
Lake Hunt is a small recreational lake located in or near Reidsville, North Carolina.
-
B.
Double Oak Lake
Double Oak Lake is a scenic recreational lake within Alabama’s Oak Mountain State Park, popular for activities such as swimming, fishing, and boating.
-
C.
Lake Taneycomo
Lake Taneycomo is a cold, trout-filled reservoir in the Ozark Mountains of southwest Missouri that combines features of both a river and a lake and is popular for fishing and outdoor recreation.
-
D.
Lake Meredith
Lake Meredith is a reservoir in southeastern Colorado known for recreation such as boating, fishing, and camping in a semi-arid plains setting.
-
E.
Lake Meredith
Lake Meredith is a major man-made reservoir in the Texas Panhandle that serves as a key water supply and recreation area for the surrounding region.
- 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_69c6880687b08190805278b504d1c92c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6b1955e448190adbfed7dc28f8c52 |
completed | March 27, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7007d2cb881909cebe2ab0d55ce3d |
completed | March 27, 2026, 10:11 p.m. |
| NEDg | Description generation | batch_69c7054749ac8190b0d8153dcf9fd8a0 |
completed | March 27, 2026, 10:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c705db3098819083ce9a93e429b758 |
completed | March 27, 2026, 10:34 p.m. |
Created at: March 27, 2026, 2:05 p.m.