Triple
T12687493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berry School |
E303110
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Berry School |
E303110
|
NE FINISHED |
How this triple was built (2 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: Berry School | Statement: [Berry School, name, Berry School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berry School Context triple: [Berry School, name, Berry School]
-
A.
Berry School
chosen
Berry School is a public elementary school serving young students in the town of Bethel, Connecticut.
-
B.
South School
South School is a public elementary school serving early-grade students in the New Canaan, Connecticut community.
-
C.
South School
South School is a public elementary school serving young students in the town of Stoneham, Massachusetts.
-
D.
East School
East School is a public elementary school serving young students in the New Canaan, Connecticut community.
-
E.
Union School
Union School is a public elementary school serving students in the town of Farmington, Connecticut.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961d8cb048190864a85dd75648820 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671aacfa8819088fd113474638238 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:21 p.m.