Triple

T29242232
Position Surface form Disambiguated ID Type / Status
Subject Famy, Laguna E741344 entity
Predicate locatedIn P40 FINISHED
Object Sierra Madre foothills
The Sierra Madre foothills are the lower, gently sloping regions at the base of the Sierra Madre mountain range, characterized by rolling terrain and transitional landscapes between mountains and lowlands.
 E1857918 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: Sierra Madre foothills | Statement: [Famy, Laguna, locatedIn, Sierra Madre foothills]
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: Sierra Madre foothills
Triple: [Famy, Laguna, locatedIn, Sierra Madre foothills]
Generated description
The Sierra Madre foothills are the lower, gently sloping regions at the base of the Sierra Madre mountain range, characterized by rolling terrain and transitional landscapes between mountains and lowlands.

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_69f0911dd6fc819097d1abb287016489 completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f66487083481909e34e79bee227470 completed May 2, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25891f499c8190b165dad08f2b5b28 completed June 7, 2026, 3:07 p.m.
NEDg Description generation batch_6a258e7e1f808190a2d54b6f192c3cc7 completed June 7, 2026, 3:30 p.m.
NED2 Entity disambiguation (via description) batch_6a258f1692808190afbed6a759f0cccc completed June 7, 2026, 3:32 p.m.
Created at: April 28, 2026, 12:31 p.m.