Triple
T13739670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wall Township, New Jersey |
E330049
|
entity |
| Predicate | hasHighSchool |
P113
|
FINISHED |
| Object |
Wall High School
Wall High School is a public secondary school serving students in grades 9–12 in Wall Township, Monmouth County, New Jersey.
|
E1105809
|
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: Wall High School | Statement: [Wall Township, New Jersey, hasHighSchool, Wall High School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wall High School Context triple: [Wall Township, New Jersey, hasHighSchool, Wall High School]
-
A.
Hall High School
Hall High School is a public secondary school serving students in the West Hartford, Connecticut area.
-
B.
Anna High School
Anna High School is a public secondary school serving students in the city of Anna in northern Texas.
-
C.
Bow High School
Bow High School is a public secondary school serving students in the town of Bow, New Hampshire.
-
D.
Roy High School
Roy High School is a public secondary school serving students in the city of Roy in northern Utah.
-
E.
Andrew High School
Andrew High School is a public secondary school in Tinley Park, Illinois, known for serving students in the southwest suburbs of Chicago.
- 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: Wall High School Triple: [Wall Township, New Jersey, hasHighSchool, Wall High School]
Generated description
Wall High School is a public secondary school serving students in grades 9–12 in Wall Township, Monmouth County, New Jersey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wall High School Target entity description: Wall High School is a public secondary school serving students in grades 9–12 in Wall Township, Monmouth County, New Jersey.
-
A.
Hall High School
Hall High School is a public secondary school serving students in the West Hartford, Connecticut area.
-
B.
Anna High School
Anna High School is a public secondary school serving students in the city of Anna in northern Texas.
-
C.
Bow High School
Bow High School is a public secondary school serving students in the town of Bow, New Hampshire.
-
D.
Roy High School
Roy High School is a public secondary school serving students in the city of Roy in northern Utah.
-
E.
Andrew High School
Andrew High School is a public secondary school in Tinley Park, Illinois, known for serving students in the southwest suburbs of Chicago.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de0204d50c8190a5413cc9a1b26e14 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8a9c41908190b789765861bd9924 |
completed | May 8, 2026, 7:02 a.m. |
| NEDg | Description generation | batch_69fd8bd70488819083f40c38575f3071 |
completed | May 8, 2026, 7:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8d506df4819092b52b0dde04bb4d |
completed | May 8, 2026, 7:14 a.m. |
Created at: April 9, 2026, 9:55 p.m.