Triple
T34253619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French 16th Division |
E878811
|
entity |
| Predicate | usedRifles |
P87035
|
FINISHED |
| Object |
Lebel rifle
The Lebel rifle is a French bolt-action military rifle introduced in the late 19th century, notable for being the first service rifle to use smokeless powder cartridges and widely issued to French troops in World War I.
|
E2088383
|
NE FINISHED |
How this triple was built (3 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: Lebel rifle | Statement: [French 16th Division, usedRifles, Lebel rifle]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lebel rifle Triple: [French 16th Division, usedRifles, Lebel rifle]
Generated description
The Lebel rifle is a French bolt-action military rifle introduced in the late 19th century, notable for being the first service rifle to use smokeless powder cartridges and widely issued to French troops in World War I.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedRifles Context triple: [French 16th Division, usedRifles, Lebel rifle]
-
A.
riflesRepresent
Indicates that rifles serve as symbols, embodiments, or representations of something (such as ideas, groups, or values) in a given context.
-
B.
isServiceRifleOf
chosen
Indicates that one entity is the designated service rifle used by another entity, typically a military or armed force.
-
C.
weaponsUsed
Indicates that one entity employed or utilized another entity as a weapon in carrying out an action or event.
-
D.
lightArmament
Indicates that an entity is equipped with or characterized by relatively minimal or lightweight weaponry compared to standard or heavy armament.
-
E.
numberOfGuns
Indicates the quantity of guns associated with a given entity or situation.
- F. None of above.
Provenance (6 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_69f349b421cc8190b4b4655e1d612548 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36d5f63590819094cfa35b0f041e92 |
completed | June 20, 2026, 6:03 p.m. |
| NEDg | Description generation | batch_6a36d67057948190a84e145cfb4a21da |
completed | June 20, 2026, 6:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a36d6dc9d50819086675a90c00b5889 |
completed | June 20, 2026, 6:07 p.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:56 a.m.