Triple
T934847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esther |
E20171
|
entity |
| Predicate | bookOrder |
P5478
|
FINISHED |
| Object | One of the Five Megillot |
—
|
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: One of the Five Megillot | Statement: [Esther, bookOrder, One of the Five Megillot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bookOrder Context triple: [Esther, bookOrder, One of the Five Megillot]
-
A.
orderType
Indicates the specific category or classification of an order, such as its purpose, channel, or processing method.
-
B.
book
Indicates that an agent reserves or schedules a service, event, or resource for future use.
-
C.
containsBook
chosen
Indicates that one entity (typically a container or collection) includes a specific book as part of its contents.
-
D.
canOrder
Indicates that one entity has the ability or permission to place an order for another entity or item.
-
E.
order
Indicates that one entity requests, arranges, or directs that another entity provide a good, service, or action, typically in a specified sequence or priority.
- 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b363ea5c819098ec1d87f785bad4 |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b29b245c8190b143f28b77fede3c |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.