Triple
T20318475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Swamp |
E492144
|
entity |
| Predicate | reputationAmongOpponents |
P61188
|
FINISHED |
| Object | difficult road environment |
—
|
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: difficult road environment | Statement: [The Swamp, reputationAmongOpponents, difficult road environment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reputationAmongOpponents Context triple: [The Swamp, reputationAmongOpponents, difficult road environment]
-
A.
fightingReputation
Indicates a recognized standing or notoriety an entity has based on its history or perceived ability in fights or combat.
-
B.
opponentStrength
Indicates the level or degree of power, skill, or capability possessed by an opposing party in a competitive or adversarial context.
-
C.
hasReputationAmong
chosen
Indicates that an entity is regarded or perceived in a particular way by a specified group or audience.
-
D.
allegedByOpponents
Indicates that a claim or accusation is made by opponents of the subject.
-
E.
tacticalReputation
Indicates the perceived level of skill, reliability, or effectiveness an entity has in planning and executing tactics within a given context.
- 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67789d8108190ae2e134f4b0b0be5 |
completed | April 20, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69e55b23a0788190bf1853ef5b81823f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 16, 2026, 11:20 a.m.