Triple
T33636275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "The Temple" (chapter) |
E861701
|
entity |
| Predicate | inSeriesStructure |
P177446
|
FINISHED |
| Object | one of the historical episodes linked to layers at Makor |
—
|
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: one of the historical episodes linked to layers at Makor | Statement: ["The Temple" (chapter), inSeriesStructure, one of the historical episodes linked to layers at Makor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inSeriesStructure Context triple: ["The Temple" (chapter), inSeriesStructure, one of the historical episodes linked to layers at Makor]
-
A.
seriesStructure
Indicates how parts or installments are organized and related within a larger series or sequence.
-
B.
inSeriesFormat
Indicates that one entity is organized or presented as part of a sequential series format relative to another entity.
-
C.
seriesOf
Indicates that one entity is a sequence or ordered set of related items, events, or parts that collectively form or belong to another entity.
-
D.
isSeriesOf
Indicates that one entity is a sequence or set of related items that collectively form a series associated with another entity.
-
E.
hasSeriesStructure
Indicates that one entity is organized as a sequence or series of related components or parts.
- 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_69f34981c54c81909b33c3fa2208a52d |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb93224881908fc66fe76115fcdb |
completed | May 3, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fb17d5ec81909091e37e1ddbe577 |
completed | May 3, 2026, 7:36 a.m. |
Created at: May 1, 2026, 1:42 a.m.