Triple
T34639851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teleri |
E889525
|
entity |
| Predicate | dividedDuringJourney |
P169640
|
FINISHED |
| Object | Nandor |
—
|
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: Nandor | Statement: [Teleri, dividedDuringJourney, Nandor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dividedDuringJourney Context triple: [Teleri, dividedDuringJourney, Nandor]
-
A.
occursDuringJourneyTo
Indicates that an event or action takes place while a journey to a specified destination is in progress.
-
B.
dividedDuring
chosen
Indicates that one entity was split or separated into parts over the course of a specified time period or event.
-
C.
journeyedWith
Indicates that one entity traveled or went on a journey together with another entity as companions.
-
D.
timeOfJourneyDescribed
Indicates that the predicate specifies the particular time period or duration during which the described journey takes place.
-
E.
dividedIn
Indicates that one entity is partitioned or separated into multiple distinct parts, sections, or groups represented 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_69f349d724848190b63ad3407e0006d9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f72291022081909c00d6aec5098b50 |
completed | May 3, 2026, 10:25 a.m. |
| PD | Predicate disambiguation | batch_69f72157af108190880317a62e634bb0 |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:04 a.m.