Triple

T38130903

Position	Surface form	Disambiguated ID	Type / Status
Subject	רמת גן	`E952217`	entity
Predicate	ראש העיר הנוכחי	`P181959`	FINISHED
Object	כרמל שאמה הכהן כרמל שאמה הכהן הוא פוליטיקאי ישראלי שכיהן כחבר הכנסת מטעם הליכוד וכדיפלומט, ומוכר במיוחד כמנהיג מקומי בולט בזירה המוניציפלית.	`E2256586`	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: כרמל שאמה הכהן | Statement: [רמת גן, ראש העיר הנוכחי, כרמל שאמה הכהן]

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: כרמל שאמה הכהן
Triple: [רמת גן, ראש העיר הנוכחי, כרמל שאמה הכהן]

Generated description

כרמל שאמה הכהן הוא פוליטיקאי ישראלי שכיהן כחבר הכנסת מטעם הליכוד וכדיפלומט, ומוכר במיוחד כמנהיג מקומי בולט בזירה המוניציפלית.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: ראש העיר הנוכחי
Context triple: [רמת גן, ראש העיר הנוכחי, כרמל שאמה הכהן]

A. cityMayor chosen
Indicates that one entity serves as the mayor (chief elected municipal official) of the city represented by the other entity.
B. formerMayor
Indicates that the subject once held the position of mayor of the object entity but no longer does.
C. governsMajorCityIn
Indicates that a governing entity has official administrative or political authority over a major city located within a specified region or jurisdiction.
D. mayorResponsibleFor
Indicates that a mayor holds responsibility or authority over a specified task, decision, area, or issue.
E. hasCityManager
Indicates that an entity has a specific individual who serves in the role of city manager for it.
F. None of above.

Provenance (6 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_69f76f083548819082bd2bbf53c79e8e`	completed	May 3, 2026, 3:51 p.m.
NER	Named-entity recognition	`batch_69fcb089a8f881909aa9e722babd43f7`	completed	May 7, 2026, 3:32 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a416827eb20819093ae2e1f26893989`	completed	June 28, 2026, 6:30 p.m.
NEDg	Description generation	`batch_6a4168bb69648190a6d588ccf599648e`	completed	June 28, 2026, 6:32 p.m.
NED2	Entity disambiguation (via description)	`batch_6a41694820f8819093ccc0249774cf13`	completed	June 28, 2026, 6:34 p.m.
PD	Predicate disambiguation	`batch_69fc45666c5c8190913bd632ac0e5b84`	completed	May 7, 2026, 7:55 a.m.

Created at: May 3, 2026, 4:21 p.m.