Triple
T34600340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Aircraft Factory D.H.5 |
E888442
|
entity |
| Predicate | primaryTheatreOfOperation |
P139535
|
FINISHED |
| Object | Western Front |
E30816
|
NE 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: Western Front | Statement: [Royal Aircraft Factory D.H.5, primaryTheatreOfOperation, Western Front]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTheatreOfOperation Context triple: [Royal Aircraft Factory D.H.5, primaryTheatreOfOperation, Western Front]
-
A.
primaryIslandOfOperation
Indicates that an entity mainly conducts its activities or operations on a specified island.
-
B.
hasPrimaryTheatreOfWar
chosen
Indicates that an armed conflict or military operation is chiefly conducted within a particular geographic theatre or region of war.
-
C.
fieldOfOperation
Indicates the domain, area, or scope within which an entity operates or carries out its primary activities.
-
D.
militaryTheater
Indicates that an entity is a geographic or operational area where military operations or campaigns are conducted.
-
E.
primaryBattlefieldOf
Indicates that a specified location serves as the main or most significant battlefield where a particular conflict or war primarily took place.
- F. None of above.
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_69f349d489d48190ba30e7d97c6f5ef9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37410e0e108190a4d6ebf2e306feb0 |
completed | June 21, 2026, 1:40 a.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 2:03 a.m.