Triple
T24391893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Rocroi |
E614914
|
entity |
| Predicate | SpanishStrength |
P156031
|
FINISHED |
| Object | approximately 25,000–27,000 soldiers |
—
|
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: approximately 25,000–27,000 soldiers | Statement: [Battle of Rocroi, SpanishStrength, approximately 25,000–27,000 soldiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SpanishStrength Context triple: [Battle of Rocroi, SpanishStrength, approximately 25,000–27,000 soldiers]
-
A.
SpanishSquadron
Indicates a relationship where an entity is identified as, or associated with, a naval or military squadron belonging to Spain.
-
B.
SpanishFormation
Indicates that an entity is associated with the creation, development, or establishment of something within a Spanish context (such as language, culture, institutions, or structures).
-
C.
SpanishObjective
Indicates that an entity is the target or goal of an action, relation, or expression specifically in the Spanish language.
-
D.
SpanishEditionURL
Indicates the web address where the Spanish-language edition or version of something can be accessed.
-
E.
SPAN-E
Indicates a relationship where one entity extends over, covers, or bridges across another entity or a specified interval in space, time, or sequence.
- 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_69e2d7e509b88190a53155d4f3de45ce |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f294595cec819084cbd5d1b0e08731 |
completed | April 29, 2026, 11:29 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28f4d978c81908310c01def2514cc |
completed | April 29, 2026, 11:07 p.m. |
Created at: April 18, 2026, 2:04 a.m.