Triple
T32654508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torah ark |
E834824
|
entity |
| Predicate | typicallyFaces |
P205130
|
FINISHED |
| Object | Jerusalem |
E6995
|
NE 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: Jerusalem | Statement: [Torah ark, typicallyFaces, Jerusalem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicallyFaces Context triple: [Torah ark, typicallyFaces, Jerusalem]
-
A.
faceType
Indicates the specific shape or structural category of a face that an entity possesses or is characterized by.
-
B.
hasFace
Indicates that one entity possesses, displays, or is characterized by a face.
-
C.
stillFaces
Indicates that an entity continues to face or be oriented toward another entity without changing its direction.
-
D.
mayFace
Indicates that an entity is likely or permitted to encounter, experience, or be subjected to another entity or situation.
-
E.
typicalFigure
Indicates that one entity serves as a standard or representative example (a typical instance) of the other entity.
- F. None of above. chosen
Provenance (5 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_69f3492f72248190ba42fa596aea50e1 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3492ad7a488190b499fc491a1fbc6c |
completed | June 19, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037cab06288190b093935f235ddff2 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:08 a.m.