Triple
T27146842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | نوف هچليل |
E681972
|
entity |
| Predicate | لها_مجلس |
P161904
|
FINISHED |
| Object |
بلدية نوف هچليل
بلدية نوف هچليل هي السلطة المحلية المسؤولة عن إدارة شؤون مدينة نوف هچليل وتقديم الخدمات البلدية لسكانها في مجالات البنية التحتية والتنظيم والحياة اليومية.
|
E1756626
|
NE FINISHED |
How this triple was built (3 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: بلدية نوف هچليل | Statement: [نوف هچليل, لها_مجلس, بلدية نوف هچليل]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: بلدية نوف هچليل Triple: [نوف هچليل, لها_مجلس, بلدية نوف هچليل]
Generated description
بلدية نوف هچليل هي السلطة المحلية المسؤولة عن إدارة شؤون مدينة نوف هچليل وتقديم الخدمات البلدية لسكانها في مجالات البنية التحتية والتنظيم والحياة اليومية.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: لها_مجلس Context triple: [نوف هچليل, لها_مجلس, بلدية نوف هچليل]
-
A.
heldCouncil
Indicates that an entity organized and conducted a formal meeting or assembly for discussion or decision-making with other participants.
-
B.
councilPresidedOverBy
Indicates that a council or formal assembly is led, directed, or overseen by a particular person or authority.
-
C.
council
Indicates that an entity serves as a governing or advisory council for another entity or within a particular domain.
-
D.
seatOfCouncil
Indicates that a location serves as the official meeting place or headquarters of a council.
-
E.
councilHeldHere
Indicates that a council or formal assembly took place at the specified location.
- F. None of above. chosen
Provenance (7 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_69eefacca3888190b67238d380e8f28b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f624c6dff08190ba0573eba9d63449 |
completed | May 2, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a124827307481909384f4ca460a6489 |
completed | May 24, 2026, 12:36 a.m. |
| NEDg | Description generation | batch_6a1249b4849481908a13899b826f6524 |
completed | May 24, 2026, 12:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a124a29725c81909909899720a829a9 |
completed | May 24, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61fa35ac48190890102c348ed81a0 |
completed | May 2, 2026, 4 p.m. |
Created at: April 27, 2026, 9:12 a.m.