Triple

T26027176

Position	Surface form	Disambiguated ID	Type / Status
Subject	מחוז הדרום	`E647324`	entity
Predicate	כולל עיר	`P96191`	FINISHED
Object	אשקלון אשקלון היא עיר חוף גדולה בדרום-מערב ישראל על שפת הים התיכון, הידועה בהיסטוריה העתיקה שלה ובתפקידה כמרכז אזורי מודרני.	`E1883904`	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: אשקלון | Statement: [מחוז הדרום, כולל עיר, אשקלון]

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: אשקלון
Triple: [מחוז הדרום, כולל עיר, אשקלון]

Generated description

אשקלון היא עיר חוף גדולה בדרום-מערב ישראל על שפת הים התיכון, הידועה בהיסטוריה העתיקה שלה ובתפקידה כמרכז אזורי מודרני.

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

Target predicate: כולל עיר
Context triple: [מחוז הדרום, כולל עיר, אשקלון]

A. עיר מוצא
Indicates the city from which an entity originates or comes.
B. כולל chosen
Indicates that something contains, includes, or encompasses something else as a part or subset.
C. עיר מרכזית קשורה
Indicates a relationship where one city is connected or associated with another city that serves as a central or main city in some defined context.
D. קיבל
Indicates that an entity received or was given something from another entity.
E. city1
Indicates that the subject is classified as a city.
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_69e77e8b60e88190a3b26c4f0032a2c2`	completed	April 21, 2026, 1:41 p.m.
NER	Named-entity recognition	`batch_69f627aedf548190bc9f53c8a2d67b50`	completed	May 2, 2026, 4:34 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a26c8bf0828819087666607bdca4ab8`	completed	June 8, 2026, 1:50 p.m.
NEDg	Description generation	`batch_6a26cd2db9bc8190bdbe700f6522ef39`	completed	June 8, 2026, 2:09 p.m.
NED2	Entity disambiguation (via description)	`batch_6a26d94836a88190bf71dbdf15a26d71`	completed	June 8, 2026, 3:01 p.m.
PD	Predicate disambiguation	`batch_69f623a4e1048190bbb8dd1253fdcee9`	completed	May 2, 2026, 4:17 p.m.

Created at: April 22, 2026, 9:05 a.m.