Triple
T37690379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Marathon site |
E938486
|
entity |
| Predicate | majorBelligerentAtSite |
P79025
|
FINISHED |
| Object | Classical Athens |
—
|
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: Classical Athens | Statement: [Battle of Marathon site, majorBelligerentAtSite, Classical Athens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorBelligerentAtSite Context triple: [Battle of Marathon site, majorBelligerentAtSite, Classical Athens]
-
A.
majorBelligerent
Indicates that an entity is a primary or principal participant in a conflict, war, or large-scale hostile engagement.
-
B.
battleBelligerentAtSite
chosen
Indicates that a particular belligerent (participant in a battle) was present and engaged in that battle at a specified site or location.
-
C.
countryDuringBattle
Indicates that a specified country was involved in or existed as a relevant participant or context during a particular battle.
-
D.
primaryBattlefieldOf
Indicates that a specified location serves as the main or most significant battlefield where a particular conflict or war primarily took place.
-
E.
hasPrimaryTheatreOfWar
Indicates that an armed conflict or military operation is chiefly conducted within a particular geographic theatre or region of war.
- F. None of above.
Provenance (3 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_69f76ed881408190bc62a969530a4a53 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a0017dd31d08190aa5e9f72df83733a |
completed | May 10, 2026, 5:30 a.m. |
| PD | Predicate disambiguation | batch_6a0015a1deb88190b9cdaa60455b0a33 |
completed | May 10, 2026, 5:20 a.m. |
Created at: May 3, 2026, 4:18 p.m.