Triple
T15621871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flags in the Dust |
E375575
|
entity |
| Predicate | exploresConflict |
P114638
|
FINISHED |
| Object | tradition versus modernity |
—
|
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: tradition versus modernity | Statement: [Flags in the Dust, exploresConflict, tradition versus modernity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exploresConflict Context triple: [Flags in the Dust, exploresConflict, tradition versus modernity]
-
A.
exploresConflictBetween
chosen
Indicates a relationship where one entity examines, analyzes, or delves into the tensions, disagreements, or opposing forces involving another entity or set of entities.
-
B.
conflictIn
Indicates that one entity is involved in, associated with, or occurs within a particular conflict or dispute.
-
C.
politicalConflict
Indicates a relationship where entities are engaged in opposing political positions, struggles, or disputes, often involving competition for power, influence, or policy outcomes.
-
D.
conflictCountry
Indicates that there is an armed conflict or war involving the referenced country as a participant.
-
E.
depictsConflict
Indicates that one entity visually represents or portrays a situation of conflict involving another entity or entities.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9a95f08190b0013ba1428849d3 |
completed | April 16, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69deda868d4481908f4bce1c64d2902a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:13 a.m.