Triple
T20339697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judah and Philistia |
E495705
|
entity |
| Predicate | conflictNarratives |
P47664
|
FINISHED |
| Object | David and Goliath account |
—
|
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: David and Goliath account | Statement: [Judah and Philistia, conflictNarratives, David and Goliath account]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conflictNarratives Context triple: [Judah and Philistia, conflictNarratives, David and Goliath account]
-
A.
conflictHistory
Indicates a history of conflict or antagonistic interactions that have occurred between the related entities.
-
B.
conflictDescribedIn
chosen
Indicates that a particular conflict is documented, detailed, or discussed within a specified information source or description.
-
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.
exploresConflictBetween
Indicates a relationship where one entity examines, analyzes, or delves into the tensions, disagreements, or opposing forces involving another entity or set of entities.
-
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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678342a0081908ede8006eb5506a3 |
completed | April 20, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_69e57636b4808190bc2855af48a3ccdc |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:23 a.m.