Triple

T3338261
Position Surface form Disambiguated ID Type / Status
Subject College of Charleston E70191 entity
Predicate oldestStatus P47998 FINISHED
Object one of the oldest universities in the United States LITERAL 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: one of the oldest universities in the United States | Statement: [College of Charleston, oldestStatus, one of the oldest universities in the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oldestStatus
Context triple: [College of Charleston, oldestStatus, one of the oldest universities in the United States]
  • A. earliestAttestedStatus
    Indicates the earliest known or recorded status that has been documented for an entity.
  • B. isOldest
    Indicates that one entity has a greater age than all other relevant entities in the comparison set.
  • C. isOldestOrderOf
    Indicates that one order is the earliest or first created among a set of related orders for a given context or entity.
  • D. earlierStatus
    Indicates that one status or condition occurred or was valid before another status in time.
  • E. historicalStatusOf
    Indicates the historical condition, role, or classification that an entity held during a specific past period or context.
  • F. None of above. chosen

Provenance (4 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1bd6c7c8190b7229de1433d8d20 completed March 8, 2026, 5:28 p.m.
PD Predicate disambiguation batch_69ada42c2ba8819091136805ce17b39d completed March 8, 2026, 4:30 p.m.
PDg Predicate description generation batch_69adaa518ac88190b64f949ace018ab7 completed March 8, 2026, 4:56 p.m.
Created at: March 8, 2026, 3:12 p.m.