Triple

T33608490

Position	Surface form	Disambiguated ID	Type / Status
Subject	برزخ السويس	`E860922`	entity
Predicate	locatedNearTectonicPlate	`P160213`	FINISHED
Object	اللوح العربي اللوح العربي هو صفيحة تكتونية كبرى تشكل أساس شبه الجزيرة العربية وتتحرك بالنسبة للصفائح المجاورة مسببة نشاطًا زلزاليًا وتكوّنًا جيولوجيًا مميزًا في المنطقة.	`E2059907`	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: اللوح العربي | Statement: [برزخ السويس, locatedNearTectonicPlate, اللوح العربي]

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: اللوح العربي
Triple: [برزخ السويس, locatedNearTectonicPlate, اللوح العربي]

Generated description

اللوح العربي هو صفيحة تكتونية كبرى تشكل أساس شبه الجزيرة العربية وتتحرك بالنسبة للصفائح المجاورة مسببة نشاطًا زلزاليًا وتكوّنًا جيولوجيًا مميزًا في المنطقة.

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

Target predicate: locatedNearTectonicPlate
Context triple: [برزخ السويس, locatedNearTectonicPlate, اللوح العربي]

A. locatedOnTectonicPlate
Indicates that one entity (typically a geographic region or feature) lies upon or is situated on the tectonic plate represented by the other entity.
B. locatedOnTectonicBoundary
Indicates that one entity is situated directly on or along the tectonic plate boundary associated with another entity.
C. isFedByTectonicPlate
Indicates that something (such as a geological feature or process) receives material, energy, or influence from the movement or interaction of a specific tectonic plate.
D. isPartOfTectonicFeature
Indicates that one geological entity is a component or subdivision of a larger tectonic feature or structure.
E. nearSubductionZone chosen
Indicates that one entity is located geographically close to a tectonic subduction zone.
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_69f3498037c88190a4500f002b5540e0`	completed	April 30, 2026, 12:22 p.m.
NER	Named-entity recognition	`batch_6a037c8ae0248190b7e2ce4bf852c22d`	completed	May 12, 2026, 7:16 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a36119b002481909b674d1d34df4f85`	completed	June 20, 2026, 4:05 a.m.
NEDg	Description generation	`batch_6a361e7eec908190b1433b7aaaafd2bd`	completed	June 20, 2026, 5 a.m.
NED2	Entity disambiguation (via description)	`batch_6a361ed6ed108190a3432c6fb2cfe436`	completed	June 20, 2026, 5:02 a.m.
PD	Predicate disambiguation	`batch_6a0379f505c88190ac0879ab422c3054`	completed	May 12, 2026, 7:05 p.m.

Created at: May 1, 2026, 1:41 a.m.