Triple
T32224708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Teleri |
E823162
|
entity |
| Predicate | someRemainedIn |
P99579
|
FINISHED |
| Object | Beleriand |
—
|
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: Beleriand | Statement: [the Teleri, someRemainedIn, Beleriand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: someRemainedIn Context triple: [the Teleri, someRemainedIn, Beleriand]
-
A.
remainedIn
chosen
Indicates that an entity stayed within or continued to be located in a particular place or state for a period of time.
-
B.
hasRemainsOf
Indicates that one entity physically contains, preserves, or is associated with the leftover physical traces or remnants of another entity.
-
C.
remnants
Indicates that parts or traces of something remain after the main portion has been removed, used, or destroyed.
-
D.
visibleRemains
Indicates that some physical remnants of an entity or event can still be seen or visually detected.
-
E.
lastRemnantOf
Indicates that one entity is the sole remaining instance or surviving part of another entity, after all similar or related instances have disappeared.
- 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_69f3490b4f948190b99e4f999f5be25f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bbcb07ec81909e1d6c7eb24fbdd7 |
completed | May 3, 2026, 3:06 a.m. |
| PD | Predicate disambiguation | batch_69f6b6293188819080d5041ca0adb969 |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:38 a.m.