Triple
T3575236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Model of Christian Charity |
E75670
|
entity |
| Predicate | placeFirstDelivered |
P19762
|
FINISHED |
| Object | aboard the Arbella |
—
|
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: aboard the Arbella | Statement: [A Model of Christian Charity, placeFirstDelivered, aboard the Arbella]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeFirstDelivered Context triple: [A Model of Christian Charity, placeFirstDelivered, aboard the Arbella]
-
A.
deliveredAt
chosen
Indicates the specific time or location at which something (such as a message, product, or service) is delivered.
-
B.
firstDeliveryDate
Indicates the date on which an item, service, or order is delivered for the first time.
-
C.
deliveredDuring
Indicates that one entity was delivered within the time span defined by another entity or temporal interval.
-
D.
mustBeDeliveredBy
Indicates that one entity is required to be delivered or completed no later than a specified time, date, or deadline set by another entity.
-
E.
peakDeliveryTime
Indicates the time period during which deliveries are expected to be at their highest volume or frequency.
- 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_69ad85d5e3008190bdfe0bacdd1f5a1b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0da77008190922f414b85b9cad4 |
completed | March 8, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69adb8364d848190a96a9bc7a6126af2 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:21 p.m.