Triple
T12983505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of the Spurs (Guinegate, 1513) |
E321708
|
entity |
| Predicate | hasPrimaryArms |
P78511
|
FINISHED |
| Object | lances |
—
|
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: lances | Statement: [Battle of the Spurs (Guinegate, 1513), hasPrimaryArms, lances]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryArms Context triple: [Battle of the Spurs (Guinegate, 1513), hasPrimaryArms, lances]
-
A.
primaryArms
chosen
Indicates that the subject possesses or uses the specified arms or weapons as its main or most important set.
-
B.
hasArms
Indicates that an entity possesses arms as physical appendages.
-
C.
hasArm
Indicates that one entity possesses or is equipped with an arm as a physical part or component of itself.
-
D.
primaryArmament
Indicates the main weapon or principal offensive system that an entity (such as a vehicle, vessel, or platform) is equipped with or uses.
-
E.
hasPrimary
Indicates that one entity is designated as the main or most important instance (the primary) in relation to another entity.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69d97dbdd94c8190ac4bbecca02dc77b |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:39 p.m.