Triple
T26489567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Als |
E669118
|
entity |
| Predicate | countryDuringBattleOfAls |
P27510
|
FINISHED |
| Object | Denmark |
—
|
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: Denmark | Statement: [Als, countryDuringBattleOfAls, Denmark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryDuringBattleOfAls Context triple: [Als, countryDuringBattleOfAls, Denmark]
-
A.
countryDuringBattle
chosen
Indicates that a specified country was involved in or existed as a relevant participant or context during a particular battle.
-
B.
countryDuringWar
Indicates that a country exists or participates as a relevant actor during a specified war or armed conflict.
-
C.
countryForWhichFought
Indicates the country on whose behalf or under whose authority an entity participated in a conflict or war.
-
D.
countryOfDefeatedSide
Indicates the country to which the losing or defeated side in a conflict, competition, or confrontation belongs.
-
E.
countryOfVictoriousSide
Indicates the country to which the winning or victorious side in a conflict, competition, or contest belongs.
- 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_69eeb319007081909642b414b114b35a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
Created at: April 27, 2026, 1:02 a.m.