Triple

T21789844
Position Surface form Disambiguated ID Type / Status
Subject Palo Alto Caltrain Station E537939 entity
Predicate hasStationCode P1289 FINISHED
Object PA
PA is the station code used to identify the Palo Alto Caltrain Station in California’s commuter rail network.
 E1502407 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: PA | Statement: [Palo Alto Caltrain Station, hasStationCode, PA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PA
Context triple: [Palo Alto Caltrain Station, hasStationCode, PA]
  • A. PA
    PA is the postcode area in western Scotland that covers Paisley and parts of the surrounding Greater Glasgow region.
  • B. PA
    PA is the standard abbreviation for the Pakistan Army, the principal land warfare branch of Pakistan's armed forces.
  • C. PA
    PA is the former IATA airline designator for Pan American World Airways, the pioneering and once-dominant U.S. international airline.
  • D. PA
    PA is the provincial code for the Metropolitan City of Palermo in the Sicily region of Italy.
  • E. PA
    PA is the official abbreviation for the Philippine Army, the main ground warfare branch of the Armed Forces of the Philippines.
  • 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: PA
Triple: [Palo Alto Caltrain Station, hasStationCode, PA]
Generated description
PA is the station code used to identify the Palo Alto Caltrain Station in California’s commuter rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PA
Target entity description: PA is the station code used to identify the Palo Alto Caltrain Station in California’s commuter rail network.
  • A. PA
    PA is the station and administrative code used by Indian Railways for the Pune railway division.
  • B. PA
    PA is the provincial code for the Metropolitan City of Palermo in the Sicily region of Italy.
  • C. PA
    PA is the standard two-letter U.S. Postal Service abbreviation for the state of Pennsylvania.
  • D. PA
    PA is the former IATA airline designator for Pan American World Airways, the pioneering and once-dominant U.S. international airline.
  • E. PA
    PA is the vehicle registration code used for motor vehicles registered in the city and region of Pazardzhik, Bulgaria.
  • 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0621ed2b481909e3df17aee9cd8f7 completed April 28, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a3e74f3b8819099c9b8565afb5e2e completed May 17, 2026, 10:17 p.m.
NEDg Description generation batch_6a0a401ceb748190a4718ea4bc7ece45 completed May 17, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_6a0a40bc29fc8190b082a1f86b2c4907 completed May 17, 2026, 10:27 p.m.
Created at: April 16, 2026, 6:52 p.m.