Triple
T1074913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaker Lane School |
E23813
|
entity |
| Predicate | hasAddressStreet |
P959
|
FINISHED |
| Object | Shaker Lane |
—
|
LITERAL 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: Shaker Lane | Statement: [Shaker Lane School, hasAddressStreet, Shaker Lane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAddressStreet Context triple: [Shaker Lane School, hasAddressStreet, Shaker Lane]
-
A.
hasStreet
chosen
Indicates that an entity is located on, associated with, or identified by a particular street.
-
B.
streetAddress
Indicates the specific location of an entity in terms of its numbered building and street name within a postal address.
-
C.
hasAddress
Indicates that an entity is associated with a specific address or location.
-
D.
address
Indicates that one entity directs spoken or written communication specifically to another entity.
-
E.
hasAddressState
Indicates that an entity’s address is located within a particular state or state-level administrative region.
- F. None of above.
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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b92e480c81909a848b48c196a293 |
completed | March 1, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69a4b73ba8208190be7f3cef8c18689b |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.