Triple

T14136918
Position Surface form Disambiguated ID Type / Status
Subject Xizhimen Gate site E350320 entity
Predicate cityGateOrientation P28310 FINISHED
Object western gate LITERAL FINISHED

How this triple was built (2 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: western gate | Statement: [Xizhimen Gate site, cityGateOrientation, western gate]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cityGateOrientation
Context triple: [Xizhimen Gate site, cityGateOrientation, western gate]
  • A. cityGateTo
    Indicates a directional relationship where one location or path leads to or opens into a city gate.
  • B. cityGateAxisTerminus
    Indicates the point or structure where a principal axis or thoroughfare of a city terminates at or aligns with a city gate.
  • C. cityGatesName
    Indicates that a set of city gates bears or is identified by a specific name.
  • D. gateOrientation chosen
    Indicates the directional alignment or facing direction of a gate relative to a reference frame or coordinate system.
  • E. hasCityGateFunction
    Indicates that something serves the role or function of a city gate, such as controlling access, passage, or boundary between a city and its surroundings.
  • F. None of above.

Provenance (3 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de610fb86c81909eb26bf9c13696ca completed April 14, 2026, 3:45 p.m.
PD Predicate disambiguation batch_69de05b5e7a08190a16be9ad8b92b80c completed April 14, 2026, 9:15 a.m.
Created at: April 10, 2026, 12:28 a.m.