Triple

T26893330

Position	Surface form	Disambiguated ID	Type / Status
Subject	মাদ্রাজ	`E677835`	entity
Predicate	ধর্মীয়_স্থাপনা	`P106589`	FINISHED
Object	কাপালেশ্বরার মন্দির কাপালেশ্বরার মন্দির হল ভারতের চেন্নাই (প্রাক্তন মাদ্রাজ) শহরের মাইলাপোরে অবস্থিত প্রাচীন ও বিখ্যাত শিবমন্দির, যা দ্রাবিড় স্থাপত্যশৈলী ও ধর্মীয়-সাংস্কৃতিক গুরুত্বের জন্য সুপরিচিত।	`E1748618`	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: কাপালেশ্বরার মন্দির | Statement: [মাদ্রাজ, ধর্মীয়_স্থাপনা, কাপালেশ্বরার মন্দির]

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: কাপালেশ্বরার মন্দির
Triple: [মাদ্রাজ, ধর্মীয়_স্থাপনা, কাপালেশ্বরার মন্দির]

Generated description

কাপালেশ্বরার মন্দির হল ভারতের চেন্নাই (প্রাক্তন মাদ্রাজ) শহরের মাইলাপোরে অবস্থিত প্রাচীন ও বিখ্যাত শিবমন্দির, যা দ্রাবিড় স্থাপত্যশৈলী ও ধর্মীয়-সাংস্কৃতিক গুরুত্বের জন্য সুপরিচিত।

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

Target predicate: ধর্মীয়_স্থাপনা
Context triple: [মাদ্রাজ, ধর্মীয়_স্থাপনা, কাপালেশ্বরার মন্দির]

A. inReligiousStructure
Indicates that one entity is located within or inside a building or structure used for religious purposes.
B. religiousFoundation
Indicates that an entity was established, created, or founded by a religious organization, authority, or tradition.
C. associatedReligionBuilding chosen
Indicates that there is a relationship between a religion and a specific building that is connected to, used by, or significant for that religion.
D. religiousBuildingDedicatedTo
Indicates that a religious building is formally dedicated or consecrated to a particular deity, figure, or religious concept.
E. religionBuildingDenomination
Indicates the specific religious denomination with which a religious building is affiliated or to which it belongs.
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_69eee9befee48190a26f214faa867be7`	completed	April 27, 2026, 4:44 a.m.
NER	Named-entity recognition	`batch_69f61f69e4508190ab20c3f2052282e7`	completed	May 2, 2026, 3:59 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a121ea2fa008190913b10dedb3b67a6`	completed	May 23, 2026, 9:39 p.m.
NEDg	Description generation	`batch_6a121f90eec08190bd18be556349e464`	completed	May 23, 2026, 9:43 p.m.
NED2	Entity disambiguation (via description)	`batch_6a1220621c4c81909da5a95967d52202`	completed	May 23, 2026, 9:47 p.m.
PD	Predicate disambiguation	`batch_69f611af72ac819094598dd2530d7411`	completed	May 2, 2026, 3:01 p.m.

Created at: April 27, 2026, 5:46 a.m.