Triple
T20611831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orley Farm |
E506465
|
entity |
| Predicate | originalSerializationStartYear |
P59503
|
FINISHED |
| Object | 1861 |
—
|
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: 1861 | Statement: [Orley Farm, originalSerializationStartYear, 1861]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalSerializationStartYear Context triple: [Orley Farm, originalSerializationStartYear, 1861]
-
A.
firstSerializationYear
chosen
Indicates the year in which an entity (such as a work or series) was first serialized or began its initial serialized publication.
-
B.
originalSerialization
Indicates that one entity is the initial or source serialized form from which another serialized representation is derived.
-
C.
originYear
Indicates the year in which something first originated, was created, or began.
-
D.
beganInYear
Indicates that an event, process, or state started in a specific calendar year.
-
E.
recordStartYear
Indicates the calendar year in which a particular record, entry, or data instance first began or was created.
- 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aad81bdc8190aa6f6164f406a468 |
completed | April 20, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69e5a00c43308190b7ea58d559257e07 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:41 a.m.