Triple
T17251766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaled City |
E418771
|
entity |
| Predicate | hasOpposingCityOrGroup |
P53524
|
FINISHED |
| Object | Thal dome cities |
—
|
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: Thal dome cities | Statement: [Kaled City, hasOpposingCityOrGroup, Thal dome cities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOpposingCityOrGroup Context triple: [Kaled City, hasOpposingCityOrGroup, Thal dome cities]
-
A.
hasOpposingFaction
chosen
Indicates that one faction stands in opposition or conflict to another faction.
-
B.
hasOpposingSide
Indicates that one entity possesses or is associated with another entity that lies on the opposite or facing side relative to a reference orientation or boundary.
-
C.
hasAntagonistGroup
Indicates that an entity is opposed or challenged by a specific group acting as its antagonist.
-
D.
hasOpposingForceType
Indicates that one force is characterized as being of a type that opposes or counteracts another force.
-
E.
hasOpposingAgent
Indicates that an entity is opposed or counteracted by another agent in a given context or interaction.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e694f788190a1c86e95264ed2fe |
completed | April 19, 2026, 1:22 a.m. |
| PD | Predicate disambiguation | batch_69e3832a284481908a8a3da7ac91de5a |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:39 a.m.