Triple

T26138088

Position	Surface form	Disambiguated ID	Type / Status
Subject	منف	`E659435`	entity
Predicate	كان_لها_معبد_رئيسي	`P64892`	FINISHED
Object	معبد بتاح معبد بتاح هو المعبد الرئيسي المكرّس للإله بتاح في مدينة منف القديمة، أحد أهم مراكز العبادة والإدارة في مصر الفرعونية.	`E1711118`	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: معبد بتاح | Statement: [منف, كان_لها_معبد_رئيسي, معبد بتاح]

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: معبد بتاح
Triple: [منف, كان_لها_معبد_رئيسي, معبد بتاح]

Generated description

معبد بتاح هو المعبد الرئيسي المكرّس للإله بتاح في مدينة منف القديمة، أحد أهم مراكز العبادة والإدارة في مصر الفرعونية.

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

Target predicate: كان_لها_معبد_رئيسي
Context triple: [منف, كان_لها_معبد_رئيسي, معبد بتاح]

A. hadTempleDedicatedTo
Indicates that a temple was formally dedicated in honor of, or for the worship of, a particular entity.
B. hasMainAltarFor
Indicates that a specific altar serves as the primary or central altar designated for a particular entity, such as a church, chapel, or religious space.
C. mainTemple
Indicates that one entity serves as the primary or central temple associated with another entity.
D. elementRepresentedByMainTemple
Indicates that a particular element is symbolized or embodied by the main temple in a given religious or cultural context.
E. hasTempleOf chosen
Indicates that a location or entity possesses, contains, or is the site of a temple dedicated to a particular deity, figure, or purpose.
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_69f60be1d2408190820365bf7d8436bd`	completed	May 2, 2026, 2:36 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_69f5b0021da88190bdd4cf2698c23edf`	completed	May 2, 2026, 8:04 a.m.

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