Triple
T9973963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Lever |
E196277
|
entity |
| Predicate | hasSecondarySchool |
P3445
|
FINISHED |
| Object |
Little Lever School
Little Lever School is a secondary education institution serving the community of Little Lever in Greater Manchester, England.
|
E832327
|
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: Little Lever School | Statement: [Little Lever, hasSecondarySchool, Little Lever School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Lever School Context triple: [Little Lever, hasSecondarySchool, Little Lever School]
-
A.
Lankershim Elementary School
Lankershim Elementary School is a public primary school serving students in the North Hollywood neighborhood of Los Angeles, California.
-
B.
Leicester Elementary School
Leicester Elementary School is a public primary school serving young students in the town of Leicester, Massachusetts.
-
C.
East School
East School is a public elementary school serving young students in the New Canaan, Connecticut community.
-
D.
Grimsdell School
Grimsdell School is the pre-preparatory school within the Mill Hill School Foundation, providing early years and primary education for young children.
-
E.
South School
South School is a public elementary school serving early-grade students in the New Canaan, Connecticut community.
- 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: Little Lever School Triple: [Little Lever, hasSecondarySchool, Little Lever School]
Generated description
Little Lever School is a secondary education institution serving the community of Little Lever in Greater Manchester, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Little Lever School Target entity description: Little Lever School is a secondary education institution serving the community of Little Lever in Greater Manchester, England.
-
A.
Lankershim Elementary School
Lankershim Elementary School is a public primary school serving students in the North Hollywood neighborhood of Los Angeles, California.
-
B.
Leicester Elementary School
Leicester Elementary School is a public primary school serving young students in the town of Leicester, Massachusetts.
-
C.
East School
East School is a public elementary school serving young students in the New Canaan, Connecticut community.
-
D.
Grimsdell School
Grimsdell School is the pre-preparatory school within the Mill Hill School Foundation, providing early years and primary education for young children.
-
E.
South School
South School is a public elementary school serving early-grade students in the New Canaan, Connecticut community.
- 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_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb7bc68608190a6545ea112850618 |
completed | April 2, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23ddcc01c8190bb00ac13cbbbb1fb |
completed | April 5, 2026, 10:47 a.m. |
| NEDg | Description generation | batch_69d23eb2971c8190bcdbc31b4ef19816 |
completed | April 5, 2026, 10:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d240d7b7e881909183d7c33bd8cb5b |
completed | April 5, 2026, 11 a.m. |
Created at: March 30, 2026, 8:48 p.m.