Triple
T38062363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Węgierska Górka fortifications |
E950375
|
entity |
| Predicate | timeOfMajorCombat |
P75482
|
FINISHED |
| Object | September 1939 |
—
|
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: September 1939 | Statement: [Węgierska Górka fortifications, timeOfMajorCombat, September 1939]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfMajorCombat Context triple: [Węgierska Górka fortifications, timeOfMajorCombat, September 1939]
-
A.
timeOfMajorBattle
chosen
Indicates the specific time at which a major battle took place.
-
B.
timePeriodOfMajorMilitaryActivity
Indicates the time span during which the primary or most significant military operations associated with an entity took place.
-
C.
numberOfMajorBattles
Indicates the total count of significant or major battles associated with an entity or event.
-
D.
timeSinceStartOfWar
Indicates the amount of time that has elapsed since the war began.
-
E.
timeInCombat
Indicates the duration that an entity spends engaged in combat or active fighting.
- 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_69f76f01e63c819093b6012fc974f35a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe68a4b67881909ca1d9f276f922e0 |
completed | May 8, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69fe680234c88190b01f953987b74972 |
completed | May 8, 2026, 10:47 p.m. |
Created at: May 3, 2026, 4:21 p.m.