Triple
T12428911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | النَّازِعَات |
E296971
|
entity |
| Predicate | تقع في الربع |
P82488
|
FINISHED |
| Object | الأول من الحزب التاسع والخمسين |
—
|
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: الأول من الحزب التاسع والخمسين | Statement: [النَّازِعَات, تقع في الربع, الأول من الحزب التاسع والخمسين]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تقع في الربع Context triple: [النَّازِعَات, تقع في الربع, الأول من الحزب التاسع والخمسين]
-
A.
تقع في الجزء
Indicates that one entity is located within or occupies a specific part or section of another entity.
-
B.
situatedInQuarter
chosen
Indicates that one entity is located within or belongs to a specific quarter or district of a larger area.
-
C.
تقع عنده
Indicates that something is located at or situated in the place associated with someone or something.
-
D.
يقع بين
Indicates that one entity is spatially situated between two or more other entities.
-
E.
cityQuarterNumber
Indicates the specific numbered quarter or district within a city to which an entity belongs or is associated.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94df948308190ace333230a4a3b38 |
completed | April 10, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69d94d391c548190996a8c698357f273 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.