Triple
T17201269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | English longbow |
E417478
|
entity |
| Predicate | arrowType |
P126383
|
FINISHED |
| Object | bodkin point arrow |
—
|
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: bodkin point arrow | Statement: [English longbow, arrowType, bodkin point arrow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: arrowType Context triple: [English longbow, arrowType, bodkin point arrow]
-
A.
arrowCount
Indicates the number of arrows associated with or involved in a given entity or interaction.
-
B.
arc
Indicates a directed relationship from one entity to another, often representing a one-way connection or transition between them.
-
C.
tipType
Indicates the specific category or kind of tip associated with an action, event, or interaction.
-
D.
allyType
Indicates that one entity is classified as a specific type or category of ally in relation to another entity.
-
E.
spearType
Indicates the specific kind or category of spear associated with an entity or action.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42daf2e5c81909c97d2e7a3ed7b88 |
completed | April 19, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69e3831e354881908c5505ffd15c84e9 |
completed | April 18, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69e3873f62108190966c4e741ebd548d |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:38 a.m.