Triple
T32171150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ezellohar |
E821710
|
entity |
| Predicate | containsRemnantsOf |
P89387
|
FINISHED |
| Object | Two Trees of Valinor |
—
|
NE NERFINISHED |
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: Two Trees of Valinor | Statement: [Ezellohar, containsRemnantsOf, Two Trees of Valinor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsRemnantsOf Context triple: [Ezellohar, containsRemnantsOf, Two Trees of Valinor]
-
A.
remnantsInclude
chosen
Indicates that the remaining parts or leftovers of one entity contain or consist of another entity.
-
B.
remnants
Indicates that parts or traces of something remain after the main portion has been removed, used, or destroyed.
-
C.
remnantDetected
Indicates that a remaining trace or leftover of a prior entity, event, or process has been identified.
-
D.
remnantsCaused
Indicates that certain remnants or leftover elements are the result of, or were brought about by, a particular cause or event.
-
E.
remnantUsedBy
Indicates that a remaining part or leftover of something is utilized or employed by another entity.
- 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_69f3490699a48190bbef96b198e8fade |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ffb97b8ff8819088b105d99a0820c9 |
completed | May 9, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69ffb88ef7388190a710120ed76edc0e |
completed | May 9, 2026, 10:43 p.m. |
Created at: May 1, 2026, 12:33 a.m.