Triple
T3887451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papelotte farm |
E92976
|
entity |
| Predicate | functionDuringBattle |
P51648
|
FINISHED |
| Object | anchor of Allied left wing |
—
|
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: anchor of Allied left wing | Statement: [Papelotte farm, functionDuringBattle, anchor of Allied left wing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: functionDuringBattle Context triple: [Papelotte farm, functionDuringBattle, anchor of Allied left wing]
-
A.
controlDuringBattle
Indicates that one entity exerts command, influence, or strategic direction over another specifically in the context of a battle or combat situation.
-
B.
mainBattle
Indicates that one battle is the primary or most significant engagement associated with a particular conflict, campaign, or entity.
-
C.
battleSystem
Indicates a relationship where entities are engaged in or governed by a structured combat or conflict-resolution mechanism.
-
D.
allyInBattle
Indicates that two or more entities cooperate on the same side as partners during a specific battle or combat situation.
-
E.
usedInBattle
Indicates that something (typically a tool, strategy, or resource) was employed or applied during a battle or combat situation.
- 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_69aed9697de0819087c2559295ff3d12 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeecabe3548190a5cbf9d0af0bcfb6 |
completed | March 9, 2026, 3:52 p.m. |
| PD | Predicate disambiguation | batch_69aee759609c8190985e96ec6d96dedd |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aee80858a481909961a33fb50ff8d1 |
completed | March 9, 2026, 3:32 p.m. |
Created at: March 9, 2026, 3:20 p.m.