Triple
T24857468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlos Argentino Daneri |
E622065
|
entity |
| Predicate | locationOfAleph |
P164153
|
FINISHED |
| Object | basement of his house on Garay Street |
—
|
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: basement of his house on Garay Street | Statement: [Carlos Argentino Daneri, locationOfAleph, basement of his house on Garay Street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfAleph Context triple: [Carlos Argentino Daneri, locationOfAleph, basement of his house on Garay Street]
-
A.
positionOnJerusalem
Indicates that one entity occupies or is located at a specific position within the area of Jerusalem.
-
B.
positionInHebrewBible
Indicates the ordinal position that something occupies within the canonical sequence of books or passages in the Hebrew Bible.
-
C.
ossuaryLocation
Indicates the place where an ossuary (a container or site for storing human skeletal remains) is situated or kept.
-
D.
locationInIsaiah
Indicates that something is located within, or occurs in, the text or context of the biblical book of Isaiah.
-
E.
positionInTanakh
Indicates the relative location or ordering of a text or passage within the canonical structure of the Tanakh.
- 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_69e2fac350d08190b3affde1b451a8c5 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f643c204508190a43fe0ec5165b01c |
completed | May 2, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f641da05b881909f6283c988639c53 |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f6430975b481909191219ad13ef77e |
completed | May 2, 2026, 6:31 p.m. |
Created at: April 18, 2026, 5:21 a.m.