Triple

T5194388
Position Surface form Disambiguated ID Type / Status
Subject South Georgia Technical College E117233 entity
Predicate abbreviation P43 FINISHED
Object SGTC
SGTC is a public technical college in Georgia offering career-focused education and workforce training programs.
 E501320 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: SGTC | Statement: [South Georgia Technical College, abbreviation, SGTC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SGTC
Context triple: [South Georgia Technical College, abbreviation, SGTC]
  • A. GTC
    GTC is a Polish vehicle registration code assigned to a specific county within the Pomeranian Voivodeship.
  • B. SGC
    SGC is the station code for St George's Cross, a Glasgow Subway station in Scotland.
  • C. GCTS
    GCTS is the ICAO airport code for Tenerife South Airport, a major international airport on the island of Tenerife in Spain’s Canary Islands.
  • D. GTS
    GTS is a high-performance, sport-oriented variant of the Holden Monaro produced by Holden’s performance division.
  • E. GTS
    GTS is an abbreviation commonly used for the Global Telecommunication System, an international network for exchanging meteorological data.
  • 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: SGTC
Triple: [South Georgia Technical College, abbreviation, SGTC]
Generated description
SGTC is a public technical college in Georgia offering career-focused education and workforce training programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SGTC
Target entity description: SGTC is a public technical college in Georgia offering career-focused education and workforce training programs.
  • A. GTC
    GTC is a Polish vehicle registration code assigned to a specific county within the Pomeranian Voivodeship.
  • B. SGC
    SGC is the station code for St George's Cross, a Glasgow Subway station in Scotland.
  • C. GCTS
    GCTS is the ICAO airport code for Tenerife South Airport, a major international airport on the island of Tenerife in Spain’s Canary Islands.
  • D. GTS
    GTS is a high-performance, sport-oriented variant of the Holden Monaro produced by Holden’s performance division.
  • E. GTS
    GTS is an abbreviation commonly used for the Global Telecommunication System, an international network for exchanging meteorological data.
  • 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_69bd4462ed04819084fcb01eb9d2fa74 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79f142488190bc6c57b8ff7ef894 completed March 20, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee09743e08190a3a73fb410a6f124 completed March 21, 2026, 6:16 p.m.
NEDg Description generation batch_69bee5a7cc748190b5df14b78aeac608 completed March 21, 2026, 6:38 p.m.
NED2 Entity disambiguation (via description) batch_69bee64966f88190874edda00332e220 completed March 21, 2026, 6:41 p.m.
Created at: March 20, 2026, 1:46 p.m.