Triple

T33021364
Position Surface form Disambiguated ID Type / Status
Subject Costinești E844920 entity
Predicate hasLandmark P105 FINISHED
Object Obelisk of Costinești
The Obelisk of Costinești is a prominent seaside monument on Romania’s Black Sea coast, serving as a recognizable symbol and meeting point in the resort town of Costinești.
E2032718 NE FINISHED

How this triple was built (2 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: Obelisk of Costinești | Statement: [Costinești, hasLandmark, Obelisk of Costinești]
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: Obelisk of Costinești
Triple: [Costinești, hasLandmark, Obelisk of Costinești]
Generated description
The Obelisk of Costinești is a prominent seaside monument on Romania’s Black Sea coast, serving as a recognizable symbol and meeting point in the resort town of Costinești.

Provenance (5 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_69f34950749c8190ae05cd27adb16d58 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d2b0a69c81909631ae3a866d1a95 completed May 3, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34dadd1380819087d651f08dc94e5e completed June 19, 2026, 5:59 a.m.
NEDg Description generation batch_6a34db8b54248190bbae5ab7444e5a08 completed June 19, 2026, 6:02 a.m.
NED2 Entity disambiguation (via description) batch_6a34dc8ff0b48190a6a9561683f13215 completed June 19, 2026, 6:07 a.m.
Created at: May 1, 2026, 1:23 a.m.