Triple
T19082733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiferet |
E467069
|
entity |
| Predicate | positionRelativeToNetzach |
P134300
|
FINISHED |
| Object | above |
—
|
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: above | Statement: [Tiferet, positionRelativeToNetzach, above]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionRelativeToNetzach Context triple: [Tiferet, positionRelativeToNetzach, above]
-
A.
positionInMenorah
Indicates the specific location or ordering of an element within a menorah structure.
-
B.
positionInAmidah
Indicates the specific location or order of a given element within the sequence of prayers that make up the Amidah.
-
C.
positionOnNeutrality
Indicates the stance or viewpoint an entity holds regarding neutrality in a given context (e.g., political, ethical, or diplomatic).
-
D.
positionInRosary
Indicates the specific sequential place an element occupies within the ordered structure of a rosary.
-
E.
positionOnRitual
Indicates the stance, role, or placement an entity holds with respect to a particular ritual or ceremonial practice.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2eab58c8190a987c88d633c92ec |
completed | April 20, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69e4b9a604308190a3235184f9f2c056 |
completed | April 19, 2026, 11:16 a.m. |
| PDg | Predicate description generation | batch_69e4bfe8a06081909fd5c28a33e9f218 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:04 p.m.