Triple
T37519849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alvechurch |
E932737
|
entity |
| Predicate | hasFirstSchool |
P126939
|
FINISHED |
| Object |
Crown Meadow First School
Crown Meadow First School is a primary-level educational institution serving young children in the village of Alvechurch, Worcestershire, England.
|
E2231061
|
NE FINISHED |
How this triple was built (3 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: Crown Meadow First School | Statement: [Alvechurch, hasFirstSchool, Crown Meadow First School]
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: Crown Meadow First School Triple: [Alvechurch, hasFirstSchool, Crown Meadow First School]
Generated description
Crown Meadow First School is a primary-level educational institution serving young children in the village of Alvechurch, Worcestershire, England.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFirstSchool Context triple: [Alvechurch, hasFirstSchool, Crown Meadow First School]
-
A.
hasSchool
Indicates that an entity possesses, is associated with, or is served by a particular school.
-
B.
hasSchoolIn
Indicates that a school is located within or operates in a specified place or region.
-
C.
hasBoardingSchool
Indicates that an entity operates, contains, or is associated with a boarding school where students both study and reside.
-
D.
hasLowerSchoolEntry
chosen
Indicates that an entity is associated with or linked to a specific lower-level school at which it begins or began schooling.
-
E.
hasPrimaryAndSecondarySchool
Indicates that an entity provides or includes both primary-level and secondary-level schooling within its educational offerings.
- F. None of above.
Provenance (6 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_69f76ec730988190b5aa4f9cb9afd518 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a0061454944819088a0babfe60f69fc |
completed | May 10, 2026, 10:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40953f4c2481909c758cc384516100 |
completed | June 28, 2026, 3:30 a.m. |
| NEDg | Description generation | batch_6a40964bda4081908a5275f82c47cb72 |
completed | June 28, 2026, 3:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a40971f12e081909994053bef8f6175 |
completed | June 28, 2026, 3:38 a.m. |
| PD | Predicate disambiguation | batch_6a0060b9ee108190b91e8d99a16f2b30 |
completed | May 10, 2026, 10:40 a.m. |
Created at: May 3, 2026, 4:17 p.m.