Triple
T12759746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W.A.S.T.E. |
E304958
|
entity |
| Predicate | hasStatusInText |
P106752
|
FINISHED |
| Object | rumored organization |
—
|
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: rumored organization | Statement: [W.A.S.T.E., hasStatusInText, rumored organization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStatusInText Context triple: [W.A.S.T.E., hasStatusInText, rumored organization]
-
A.
hasStatusIn
Indicates that an entity holds or is assigned a particular status within a specified context, scope, or system.
-
B.
hasStatusLabel
Indicates that an entity is associated with a specific status expressed as a human-readable label.
-
C.
statusIncludes
Indicates that one entity’s status set contains or encompasses the status (or statuses) of another entity.
-
D.
textStatus
Indicates the current state or condition of a piece of text, such as its progress, validity, or processing outcome.
-
E.
hasOutputStatus
Indicates that an entity is associated with a particular state or condition of its produced output.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d8d3eb08190ae998df5cc6d9ba6 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96409739881909174ba005a986cb5 |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d87078c819083ea724238992204 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:28 p.m.