Triple

T23845393
Position Surface form Disambiguated ID Type / Status
Subject Thumba Equatorial Rocket Launching Station E591105 entity
Predicate locatedIn P40 FINISHED
Object Thumba
Thumba is a coastal region near Thiruvananthapuram in Kerala, India, known as the cradle of the Indian space program and the site of its early rocket launches.
E1605384 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: Thumba | Statement: [Thumba Equatorial Rocket Launching Station, locatedIn, Thumba]
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: Thumba
Triple: [Thumba Equatorial Rocket Launching Station, locatedIn, Thumba]
Generated description
Thumba is a coastal region near Thiruvananthapuram in Kerala, India, known as the cradle of the Indian space program and the site of its early rocket launches.

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_69e25d1de32c8190a907afe9c3d6cd6d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1c88b59688190922d6bf329f08721 completed April 29, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f69abd73881909ea879e885c3c35a completed May 21, 2026, 8:23 p.m.
NEDg Description generation batch_6a0f6d40d1108190b4da250e40014008 completed May 21, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_6a0f6e38cf648190b30122be93c70685 completed May 21, 2026, 8:42 p.m.
Created at: April 17, 2026, 8:09 p.m.