Triple

T7922857
Position Surface form Disambiguated ID Type / Status
Subject Xichang Satellite Launch Center E183986 entity
Predicate alsoKnownAs P39 FINISHED
Object XSLC
XSLC is a major Chinese spaceport in Sichuan province used primarily for launching satellites into geostationary orbit.
 E697996 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: XSLC | Statement: [Xichang Satellite Launch Center, alsoKnownAs, XSLC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: XSLC
Context triple: [Xichang Satellite Launch Center, alsoKnownAs, XSLC]
  • A. XSLT
    XSLT is a language for transforming XML documents into other formats such as XML, HTML, or plain text using template-based rules.
  • B. XSC
    XSC is the IATA airport code for South Caicos Airport in the Turks and Caicos Islands.
  • C. SLX
    SLX is the IATA airport code for the small Salt Cay Airport serving Salt Cay in the Turks and Caicos Islands.
  • D. TXL
    TXL was the IATA airport code for Berlin Tegel Airport, the former main international airport of Berlin, Germany.
  • E. xslp13
    xslp13 is an Apache Ant task used to perform XSLT transformations within Ant build scripts.
  • 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: XSLC
Triple: [Xichang Satellite Launch Center, alsoKnownAs, XSLC]
Generated description
XSLC is a major Chinese spaceport in Sichuan province used primarily for launching satellites into geostationary orbit.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: XSLC
Target entity description: XSLC is a major Chinese spaceport in Sichuan province used primarily for launching satellites into geostationary orbit.
  • A. XSLT
    XSLT is a language for transforming XML documents into other formats such as XML, HTML, or plain text using template-based rules.
  • B. XSC
    XSC is the IATA airport code for South Caicos Airport in the Turks and Caicos Islands.
  • C. SLX
    SLX is the IATA airport code for the small Salt Cay Airport serving Salt Cay in the Turks and Caicos Islands.
  • D. TXL
    TXL was the IATA airport code for Berlin Tegel Airport, the former main international airport of Berlin, Germany.
  • E. xslp13
    xslp13 is an Apache Ant task used to perform XSLT transformations within Ant build scripts.
  • 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_69ca828fe7bc819090f52c88dcd72183 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aaadd1c8190971f2a6c7636cae4 completed March 31, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bf3c3288190ac3df917be92f9f8 completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb5f222c808190b9ef39896f149278 completed March 31, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69cb76c896c08190a67a5b572436f2d9 completed March 31, 2026, 7:24 a.m.
Created at: March 30, 2026, 5:06 p.m.