Triple

T7854524
Position Surface form Disambiguated ID Type / Status
Subject Philadelphia–Harrisburg E182138 entity
Predicate stateImportance P41270 FINISHED
Object key intercity rail segment in Pennsylvania 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: key intercity rail segment in Pennsylvania | Statement: [Philadelphia–Harrisburg, stateImportance, key intercity rail segment in Pennsylvania]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stateImportance
Context triple: [Philadelphia–Harrisburg, stateImportance, key intercity rail segment in Pennsylvania]
  • A. peakImportance
    Indicates that something reaches or represents the highest level of importance within a given context or timeframe.
  • B. politicalImportance
    Indicates the degree to which something holds significance, influence, or priority within political processes, decisions, or power structures.
  • C. importantSaint
    Indicates that the subject is recognized as a particularly significant or highly revered saint within a religious or spiritual tradition.
  • D. isImportantFor
    Indicates that something holds significant value, relevance, or necessity in relation to something else.
  • E. relativeImportanceInCountry chosen
    Indicates the comparative significance or priority of something within the context of a specific country.
  • F. None of above.

Provenance (3 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb1a72cfdc8190a3186c4c2894f571 completed March 31, 2026, 12:50 a.m.
PD Predicate disambiguation batch_69cae92180f88190ae3d44c3de7adc93 completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 4:51 p.m.