Triple
T31099195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الحِجْر |
E792622
|
entity |
| Predicate | openSide |
P98645
|
FINISHED |
| Object | من جهة الشمال الغربي للكعبة |
—
|
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: من جهة الشمال الغربي للكعبة | Statement: [الحِجْر, openSide, من جهة الشمال الغربي للكعبة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openSide Context triple: [الحِجْر, openSide, من جهة الشمال الغربي للكعبة]
-
A.
opens
Indicates that one entity causes or allows another entity (such as an object, space, or resource) to become accessible or no longer closed.
-
B.
opensOn
Indicates that an entity begins operating, becomes accessible, or starts being available at a specified time or on a specified date.
-
C.
openingStyle
Indicates how something is initially presented, introduced, or begun in terms of manner, format, or approach.
-
D.
openAspect
chosen
Indicates that one entity presents, reveals, or exposes a particular aspect, side, or dimension of another entity or situation.
-
E.
openStatus
Indicates whether an entity (such as a place, service, or resource) is currently open or available for use.
- 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_69f224cf157c81909e2d2bd88c9282c3 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:03 p.m.