Triple

T26138092

Position	Surface form	Disambiguated ID	Type / Status
Subject	منف	`E659435`	entity
Predicate	كانت_قريبة_من	`P350`	FINISHED
Object	جبانة سقارة جبانة سقارة هي إحدى أهم وأقدم المقابر الأثرية في مصر القديمة، تضم أهرامات ومصاطب ومعابد جنائزية لملوك ونبلاء الدولة القديمة والوسطى.	`E1711119`	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: جبانة سقارة | Statement: [منف, كانت_قريبة_من, جبانة سقارة]

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: جبانة سقارة
Triple: [منف, كانت_قريبة_من, جبانة سقارة]

Generated description

جبانة سقارة هي إحدى أهم وأقدم المقابر الأثرية في مصر القديمة، تضم أهرامات ومصاطب ومعابد جنائزية لملوك ونبلاء الدولة القديمة والوسطى.

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

Target predicate: كانت_قريبة_من
Context triple: [منف, كانت_قريبة_من, جبانة سقارة]

A. near chosen
Indicates that one entity is located at a short distance from another entity in space or position.
B. closerTo
Indicates that one entity is at a smaller distance to a reference entity than another entity is.
C. closestTo
Indicates that one entity is nearer in distance to a reference entity than any other comparable entity.
D. nearbyTo
Indicates that one entity is located close in distance or position to another entity.
E. onceConsideredCloseTo
Indicates that two entities were previously regarded as having a close or intimate relationship, but that closeness is no longer current or assumed.
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_69ee5bc3c20c8190bf2cf272f4170e95`	completed	April 26, 2026, 6:38 p.m.
NER	Named-entity recognition	`batch_69f62d89b89c8190afb372a8172111e7`	completed	May 2, 2026, 4:59 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a1127667a6c8190a8ff5bc95fdedad3`	completed	May 23, 2026, 4:04 a.m.
NEDg	Description generation	`batch_6a114b4c88dc81909e4c49446d1394d0`	completed	May 23, 2026, 6:38 a.m.
NED2	Entity disambiguation (via description)	`batch_6a114bae57248190ab262e9736dd2f61`	completed	May 23, 2026, 6:39 a.m.
PD	Predicate disambiguation	`batch_69f62c1379f08190836c3e02b0c892df`	completed	May 2, 2026, 4:53 p.m.

Created at: April 26, 2026, 8:18 p.m.