Triple
T13998436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alarippu |
E336760
|
entity |
| Predicate | positionInMargam |
P112097
|
FINISHED |
| Object | first item |
—
|
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: first item | Statement: [Alarippu, positionInMargam, first item]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInMargam Context triple: [Alarippu, positionInMargam, first item]
-
A.
positionInMishnehTorah
Indicates the specific location or ordering of a given item within the structure of the Mishneh Torah text.
-
B.
positionInTalmud
Indicates the specific location or ordering of a passage, topic, or element within the structured text of the Talmud.
-
C.
positionInMishnahOrders
Indicates the specific ordinal position that something occupies within the sequence of Mishnah orders.
-
D.
positionInAmidah
Indicates the specific location or order of a given element within the sequence of prayers that make up the Amidah.
-
E.
positionInLent
Indicates the specific point or stage an event, day, or period occupies within the overall timeline of Lent.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb68ba88190bfaf10777d607bf3 |
completed | April 14, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69dd465dfbc4819090d8c61fd572d35f |
completed | April 13, 2026, 7:39 p.m. |
| PDg | Predicate description generation | batch_69de01ed2098819088ec45069f6f2609 |
completed | April 14, 2026, 8:59 a.m. |
Created at: April 9, 2026, 10:19 p.m.