Triple

T168819
Position Surface form Disambiguated ID Type / Status
Subject MetroCard E3073 entity
Predicate appliesTo P1129 FINISHED
Object PATH
PATH is a rapid transit rail system connecting Manhattan in New York City with neighboring cities in northern New Jersey.
 E21015 NE FINISHED

How this triple was built (4 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: PATH | Statement: [MetroCard, appliesTo, PATH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PATH
Context triple: [MetroCard, appliesTo, PATH]
  • A. Route 2
    Route 2 is a major state highway in Massachusetts that serves as a key commuter route between the Boston area and the state's northwestern regions.
  • B. Lane
    Lane is a common English surname borne by numerous notable individuals across fields such as science, politics, and the arts.
  • C. PT
    PT is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Portugal in international standards and systems.
  • D. PTP
    PTP is a network-based time synchronization protocol defined by the IEEE 1588 standard that enables highly precise clock alignment across distributed systems.
  • E. Pan
    Pan is the rustic Greek god of shepherds, flocks, and wild nature, often depicted with goat-like features and associated with music and untamed wilderness.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: PATH
Triple: [MetroCard, appliesTo, PATH]
Generated description
PATH is a rapid transit rail system connecting Manhattan in New York City with neighboring cities in northern New Jersey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PATH
Target entity description: PATH is a rapid transit rail system connecting Manhattan in New York City with neighboring cities in northern New Jersey.
  • A. Route 2
    Route 2 is a major state highway in Massachusetts that serves as a key commuter route between the Boston area and the state's northwestern regions.
  • B. Lane
    Lane is a common English surname borne by numerous notable individuals across fields such as science, politics, and the arts.
  • C. PT
    PT is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Portugal in international standards and systems.
  • D. PTP
    PTP is a network-based time synchronization protocol defined by the IEEE 1588 standard that enables highly precise clock alignment across distributed systems.
  • E. Pan
    Pan is the rustic Greek god of shepherds, flocks, and wild nature, often depicted with goat-like features and associated with music and untamed wilderness.
  • F. None of above. chosen

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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a258b6f4f88190b1264bbbeb19a29e completed Feb. 28, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2e0f8bf748190b2752f250a63d8e3 completed Feb. 28, 2026, 12:35 p.m.
NEDg Description generation batch_69a2e16a3c088190a7ed30c60da89e6e completed Feb. 28, 2026, 12:36 p.m.
NED2 Entity disambiguation (via description) batch_69a2e2a9c8608190a65a4a3b80cd6970 completed Feb. 28, 2026, 12:42 p.m.
Created at: Feb. 28, 2026, 2:34 a.m.