Triple
T11062917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melissa, Texas |
E261551
|
entity |
| Predicate | hasHighSchool |
P113
|
FINISHED |
| Object |
Melissa High School
Melissa High School is a public secondary school serving students in the growing community of Melissa, Texas.
|
E903004
|
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: Melissa High School | Statement: [Melissa, Texas, hasHighSchool, Melissa High School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melissa High School Context triple: [Melissa, Texas, hasHighSchool, Melissa High School]
-
A.
Anna High School
Anna High School is a public secondary school serving students in the city of Anna in northern Texas.
-
B.
Hall High School
Hall High School is a public secondary school serving students in the West Hartford, Connecticut area.
-
C.
Kathleen High School
Kathleen High School is a public high school in Lakeland, Florida, best known for being the alma mater of Pro Football Hall of Famer Ray Lewis.
-
D.
Marcus High School
Marcus High School is a public secondary school in the Lewisville Independent School District, serving students in the Flower Mound, Texas area.
-
E.
Roy High School
Roy High School is a public secondary school serving students in the city of Roy in northern Utah.
- 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: Melissa High School Triple: [Melissa, Texas, hasHighSchool, Melissa High School]
Generated description
Melissa High School is a public secondary school serving students in the growing community of Melissa, Texas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Melissa High School Target entity description: Melissa High School is a public secondary school serving students in the growing community of Melissa, Texas.
-
A.
Anna High School
Anna High School is a public secondary school serving students in the city of Anna in northern Texas.
-
B.
Hall High School
Hall High School is a public secondary school serving students in the West Hartford, Connecticut area.
-
C.
Kathleen High School
Kathleen High School is a public high school in Lakeland, Florida, best known for being the alma mater of Pro Football Hall of Famer Ray Lewis.
-
D.
Marcus High School
Marcus High School is a public secondary school in the Lewisville Independent School District, serving students in the Flower Mound, Texas area.
-
E.
Roy High School
Roy High School is a public secondary school serving students in the city of Roy in northern Utah.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798eb838c819089a89c55209c0295 |
completed | April 9, 2026, 12:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c887d2148190b19c91b6eb548494 |
completed | April 18, 2026, 6:08 p.m. |
| NEDg | Description generation | batch_69e3cadf271081908d2b794a4288892a |
completed | April 18, 2026, 6:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3cf1f508c81909b4ca8131b7fc9ee |
completed | April 18, 2026, 6:36 p.m. |
Created at: April 8, 2026, 9:26 p.m.