Triple
T35824519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BGA WTC I No. 15 |
E1035601
|
entity |
| Predicate | sequenceNumberInBook |
P14913
|
FINISHED |
| Object | 15 |
—
|
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: 15 | Statement: [BGA WTC I No. 15, sequenceNumberInBook, 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sequenceNumberInBook Context triple: [BGA WTC I No. 15, sequenceNumberInBook, 15]
-
A.
appearsInBookNumber
Indicates that an entity is featured or mentioned in a specific book identified by its number within a series or collection.
-
B.
chapterNumber
chosen
Indicates the specific ordinal position a chapter occupies within a larger ordered work, such as a book or document.
-
C.
verseNumber
Indicates the specific numbered position of a verse within an ordered sequence, such as in a chapter, song, or poem.
-
D.
chronNumber
Indicates that one entity is assigned a specific chronological number or position in an ordered sequence relative to others.
-
E.
seriesVolumeNumber
Indicates the specific volume number assigned to an item within an ordered series.
- 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_69f76e185ffc8190880b3cdf51decd38 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.