Triple
T30633262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arnor |
E779765
|
entity |
| Predicate | dividedDuring |
P169640
|
FINISHED |
| Object | Third Age |
—
|
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: Third Age | Statement: [Arnor, dividedDuring, Third Age]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dividedDuring Context triple: [Arnor, dividedDuring, Third Age]
-
A.
dividedIn
Indicates that one entity is partitioned or separated into multiple distinct parts, sections, or groups represented by another entity.
-
B.
divisionSince
Indicates that one entity has been divided or split from another starting at a specific point in time.
-
C.
sometimesDividedInto
Indicates that an entity is on some occasions partitioned or separated into distinct parts, sections, or groups, but not always.
-
D.
isDividedFrom
Indicates that one entity is separated or partitioned from another, typically by a boundary, barrier, or dividing line.
-
E.
dividedBy
Indicates that one quantity is separated into a specified number of equal parts or groups by another quantity, representing a division relationship between them.
- 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_69f224a431548190a44ad9d088dbf91f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68a1ee6348190a316b92bccd14826 |
completed | May 2, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f67e448a9c8190b591374d98799fe3 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f0353c88190a05b2db449abe0f4 |
completed | May 2, 2026, 10:47 p.m. |
Created at: April 29, 2026, 8:28 p.m.