Triple
T24294769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qibla (toward the Kaaba) |
E605927
|
entity |
| Predicate | pointsToward |
P21886
|
FINISHED |
| Object | Kaaba |
—
|
NE NERFINISHED |
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: Kaaba | Statement: [Qibla (toward the Kaaba), pointsToward, Kaaba]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pointsToward Context triple: [Qibla (toward the Kaaba), pointsToward, Kaaba]
-
A.
points
chosen
Indicates that one entity directs attention, focus, or a physical/abstract indication toward another entity or location.
-
B.
headsToward
Indicates movement or orientation in the direction of a particular target or destination.
-
C.
continuesToward
Indicates that an entity maintains its movement or progression in the direction of a specified target or destination.
-
D.
tryPoints
Indicates an attempt by one entity to score or gain points, typically through some action or effort directed toward achieving those points.
-
E.
directedTo
Indicates that something is sent, aimed, or addressed toward a particular target or recipient.
- F. None of above.
Provenance (3 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_69e29549335881909cbf27adcaba1cf0 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f291593c0881908a6827f0d8899fe6 |
completed | April 29, 2026, 11:16 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 12:09 a.m.