Triple

T4554990
Position Surface form Disambiguated ID Type / Status
Subject Hack E120458 entity
Predicate feature P374 FINISHED
Object XHP
XHP is a PHP extension for Facebook's Hack language that lets developers write XML-like syntax directly in code to create robust, type-safe user interface components.
 E452771 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: XHP | Statement: [Hack, feature, XHP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: XHP
Context triple: [Hack, feature, XHP]
  • A. XHP
    XHP is the IATA station code assigned to Paris's Gare de l'Est railway station.
  • B. HX
    HX is a postcode area in West Yorkshire, England, covering Halifax and surrounding towns including Hebden Bridge.
  • C. XCD
    XCD is the ISO 4217 currency code for the Eastern Caribbean dollar, the official monetary unit used by several Eastern Caribbean nations.
  • D. XU
    XU was a clandestine Norwegian intelligence organization that gathered and transmitted vital information to the Allies during the German occupation in World War II.
  • E. XNM
    XNM is the IATA airport-style code assigned to Norwich railway station in Norwich, England, for use in integrated transport and ticketing systems.
  • 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: XHP
Triple: [Hack, feature, XHP]
Generated description
XHP is a PHP extension for Facebook's Hack language that lets developers write XML-like syntax directly in code to create robust, type-safe user interface components.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: XHP
Target entity description: XHP is a PHP extension for Facebook's Hack language that lets developers write XML-like syntax directly in code to create robust, type-safe user interface components.
  • A. XHP
    XHP is the IATA station code assigned to Paris's Gare de l'Est railway station.
  • B. HX
    HX is a postcode area in West Yorkshire, England, covering Halifax and surrounding towns including Hebden Bridge.
  • C. XCD
    XCD is the ISO 4217 currency code for the Eastern Caribbean dollar, the official monetary unit used by several Eastern Caribbean nations.
  • D. XU
    XU was a clandestine Norwegian intelligence organization that gathered and transmitted vital information to the Allies during the German occupation in World War II.
  • E. XNM
    XNM is the IATA airport-style code assigned to Norwich railway station in Norwich, England, for use in integrated transport and ticketing systems.
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd5813af948190b10b02dadf6496bf completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc57d59f88190857cbda79caf3c38 completed March 20, 2026, 10:09 p.m.
NEDg Description generation batch_69bdc8a14ca88190b4104c113e150edd completed March 20, 2026, 10:22 p.m.
NED2 Entity disambiguation (via description) batch_69bdc95f7064819081c69df00a869c31 completed March 20, 2026, 10:25 p.m.
Created at: March 20, 2026, 1:09 p.m.