Triple
T36571800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richmond |
E902138
|
entity |
| Predicate | invadesFrom |
P185877
|
FINISHED |
| Object | France |
—
|
NE NERFINISHED |
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: France | Statement: [Richmond, invadesFrom, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: invadesFrom Context triple: [Richmond, invadesFrom, France]
-
A.
invade
Indicates entering another entity’s territory or domain, typically by force or without permission, in order to take control or exert dominance.
-
B.
wasInvadedBy
Indicates that a place or territory was subjected to an incursion or attack carried out by another entity or group.
-
C.
invadedDuring
Indicates that one entity carried out an invasion of another entity within the temporal bounds of a specified event or period.
-
D.
infiltratedBy
Indicates that an entity has been secretly entered, penetrated, or taken over by another entity, typically in a covert or unauthorized manner.
-
E.
methodOfInvasion
Indicates the specific way or technique by which an invasion is carried out.
- 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_69f76e6416708190a9754b8c52d4e453 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c3705b5c81908c84004543a71c07 |
completed | May 3, 2026, 9:51 p.m. |
Created at: May 3, 2026, 4:11 p.m.