Triple
T27619008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Twelve Days of Christmas |
E700517
|
entity |
| Predicate | firstDayGift |
P199438
|
FINISHED |
| Object | a partridge in a pear tree |
—
|
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: a partridge in a pear tree | Statement: [The Twelve Days of Christmas, firstDayGift, a partridge in a pear tree]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstDayGift Context triple: [The Twelve Days of Christmas, firstDayGift, a partridge in a pear tree]
-
A.
secondDayGift
Indicates that one entity gives or receives a gift on the second day of a specified multi-day event or sequence.
-
B.
fourthDayGift
Indicates that one entity gives another entity a gift associated with the fourth day in a sequence or event (such as the fourth day of a celebration or series).
-
C.
thirdDayGift
Indicates that an entity gives or receives a gift specifically on the third day of a defined period or sequence.
-
D.
tenthDayGift
Indicates that one entity gives or receives a gift specifically on the tenth day of a defined period or sequence.
-
E.
giftReceived
Indicates that one entity has received a gift from another entity.
- F. None of above. chosen
Provenance (4 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_69ef6a4f1d9c8190b0705acda054368d |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69ff397e19a88190a945b826159f5290 |
completed | May 9, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69ff392400d0819088d30d08d4a774bd |
completed | May 9, 2026, 1:39 p.m. |
| PDg | Predicate description generation | batch_69ff397d6a2081908fa8f62e8902421b |
completed | May 9, 2026, 1:41 p.m. |
Created at: April 27, 2026, 2:13 p.m.