Triple
T37459782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plague Quarter |
E930888
|
entity |
| Predicate | hasChallengeFocus |
P199278
|
FINISHED |
| Object | surviving persistent damage effects |
—
|
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: surviving persistent damage effects | Statement: [Plague Quarter, hasChallengeFocus, surviving persistent damage effects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChallengeFocus Context triple: [Plague Quarter, hasChallengeFocus, surviving persistent damage effects]
-
A.
hasChallenge
Indicates that an entity faces, experiences, or is confronted with a particular difficulty, obstacle, or problem.
-
B.
hasClassChallenge
Indicates that a class or course is associated with a specific challenge, task, or problem set assigned to its participants.
-
C.
hasBeenChallengedFor
Indicates that an entity has been formally questioned, disputed, or contested specifically in relation to another entity or issue.
-
D.
hasBeenChallengedIn
Indicates that an entity has faced a challenge, contest, or dispute within a specified context, domain, or setting.
-
E.
hasProgramFocus
Indicates that an entity (such as a program or initiative) is oriented around or primarily concerned with a particular thematic area, topic, or objective.
- F. None of above. chosen
Provenance (4 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff29d831b881908d485609e0fc1d0b |
completed | May 9, 2026, 12:34 p.m. |
| PD | Predicate disambiguation | batch_69ff28f9f9e4819087f3402735de66c7 |
completed | May 9, 2026, 12:30 p.m. |
| PDg | Predicate description generation | batch_69ff29d77f48819085304ed5e92eb906 |
completed | May 9, 2026, 12:34 p.m. |
Created at: May 3, 2026, 4:17 p.m.