Triple
T11062918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melissa, Texas |
E261551
|
entity |
| Predicate | hasMiddleSchool |
P113
|
FINISHED |
| Object |
Melissa Middle School
Melissa Middle School is a public middle school serving students in the growing community of Melissa, Texas.
|
E903619
|
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 Middle School | Statement: [Melissa, Texas, hasMiddleSchool, Melissa Middle School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melissa Middle School Context triple: [Melissa, Texas, hasMiddleSchool, Melissa Middle School]
-
A.
Stone Middle School
Stone Middle School is a public middle school serving students in the Centreville area.
-
B.
Mill Middle School
Mill Middle School is a public middle school serving students in the Williamsville Central School District in Williamsville, New York.
-
C.
Medlin Middle School
Medlin Middle School is a public middle school serving students in the Roanoke, Texas area.
-
D.
Oak Middle School
Oak Middle School is a public middle school serving students in the town of Shrewsbury, Massachusetts.
-
E.
South Middle School
South Middle School is a public middle school in Braintree, Massachusetts, serving students in the Braintree Public Schools district.
- 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 Middle School Triple: [Melissa, Texas, hasMiddleSchool, Melissa Middle School]
Generated description
Melissa Middle School is a public middle school serving students in the growing community of Melissa, Texas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Melissa Middle School Target entity description: Melissa Middle School is a public middle school serving students in the growing community of Melissa, Texas.
-
A.
Stone Middle School
Stone Middle School is a public middle school serving students in the Centreville area.
-
B.
Mill Middle School
Mill Middle School is a public middle school serving students in the Williamsville Central School District in Williamsville, New York.
-
C.
Medlin Middle School
Medlin Middle School is a public middle school serving students in the Roanoke, Texas area.
-
D.
Oak Middle School
Oak Middle School is a public middle school serving students in the town of Shrewsbury, Massachusetts.
-
E.
South Middle School
South Middle School is a public middle school in Braintree, Massachusetts, serving students in the Braintree Public Schools district.
- 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_69e3e75b90ec8190b1a799e0183c6784 |
completed | April 18, 2026, 8:19 p.m. |
| NEDg | Description generation | batch_69e3f2c889dc81909a04c1db0509e3d9 |
completed | April 18, 2026, 9:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3f4746dbc8190a0e28202ad5e6b4f |
completed | April 18, 2026, 9:15 p.m. |
Created at: April 8, 2026, 9:26 p.m.