Triple
T7174585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Gun |
E167286
|
entity |
| Predicate | shellNumbering |
P22578
|
FINISHED |
| Object | shells were numbered and matched to barrel wear |
—
|
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: shells were numbered and matched to barrel wear | Statement: [Paris Gun, shellNumbering, shells were numbered and matched to barrel wear]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shellNumbering Context triple: [Paris Gun, shellNumbering, shells were numbered and matched to barrel wear]
-
A.
frontNumbering
Indicates that an entity is assigned a numbering or label that appears at the front or beginning of something (e.g., a sequence, document, or list).
-
B.
numberingType
Indicates the scheme or style used to assign sequential numbers or labels within an ordered set.
-
C.
isNumbered
chosen
Indicates that an entity has been assigned a specific number or position in an ordered sequence.
-
D.
isNumberedBy
Indicates that an entity is assigned, identified, or organized by a specific number or numbering scheme.
-
E.
standardNumberingScheme
Indicates that there is a specific, commonly accepted numbering system or convention being applied to identify or order the related entities.
- 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_69c68889a2748190a316c5e65360361a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e9b045c48190b27b2d6f7c11026f |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e74fb0f48190b2ad4dd4efdd241a |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:48 p.m.