Triple

T27479801
Position Surface form Disambiguated ID Type / Status
Subject Takua Thung E693568 entity
Predicate isPartOf P10 FINISHED
Object Greater Andaman coastal region
The Greater Andaman coastal region is a maritime area along the Andaman Sea known for its tropical shorelines, island-dotted seascapes, and rich marine biodiversity.
 E1109248 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: Greater Andaman coastal region | Statement: [Takua Thung, isPartOf, Greater Andaman coastal region]
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: Greater Andaman coastal region
Triple: [Takua Thung, isPartOf, Greater Andaman coastal region]
Generated description
The Greater Andaman coastal region is a maritime area along the Andaman Sea known for its tropical shorelines, island-dotted seascapes, and rich marine biodiversity.

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_69ef5381f2648190a2392d0fab833095 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f62e470e1c819099cbecb791f35990 completed May 2, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12bbe92d90819081aefa21893432bb completed May 24, 2026, 8:50 a.m.
NEDg Description generation batch_6a12bc906eb481908d12f171b1230dbe completed May 24, 2026, 8:53 a.m.
NED2 Entity disambiguation (via description) batch_6a12bd3f12b481908606b8e373ff408a completed May 24, 2026, 8:56 a.m.
Created at: April 27, 2026, 12:59 p.m.