Triple
T30376900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Douma |
E772714
|
entity |
| Predicate | hasEconomicActivityBeforeWar |
P33336
|
FINISHED |
| Object | agriculture |
—
|
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: agriculture | Statement: [Douma, hasEconomicActivityBeforeWar, agriculture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEconomicActivityBeforeWar Context triple: [Douma, hasEconomicActivityBeforeWar, agriculture]
-
A.
hasEmployerDuringWorldWarII
Indicates that an individual was employed by a specific employer during the time period of World War II.
-
B.
wasOccupiedDuringWar
Indicates that a place or territory was under military or foreign control for some period during a specified war.
-
C.
preWarOccupation
Indicates the occupation or role a person held before a specific war or armed conflict.
-
D.
preWarRole
Indicates the role, position, or function an entity held before the onset of a specified war or conflict.
-
E.
prewarActivity
chosen
Indicates activities, conditions, or behaviors that occurred or were carried out before a specific war or armed conflict.
- 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_69f2248e3444819081b05712dc6873de |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68513cbf881908ec5f924484b19b9 |
completed | May 2, 2026, 11:13 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8 p.m.