Triple

T34429358
Position Surface form Disambiguated ID Type / Status
Subject Heuston Luas stop E883782 entity
Predicate hasLuasStopCode P179392 FINISHED
Object HEUS
HEUS is the Luas tram stop code used to identify the Heuston stop on Dublin’s light rail network.
 E2096909 NE FINISHED

How this triple was built (3 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: HEUS | Statement: [Heuston Luas stop, hasLuasStopCode, HEUS]
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: HEUS
Triple: [Heuston Luas stop, hasLuasStopCode, HEUS]
Generated description
HEUS is the Luas tram stop code used to identify the Heuston stop on Dublin’s light rail network.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasLuasStopCode
Context triple: [Heuston Luas stop, hasLuasStopCode, HEUS]
  • A. hasStopArea
    Indicates that an entity is associated with or contains a specific stop area, such as a designated location where vehicles stop.
  • B. hasStopFeature
    Indicates that one entity possesses or is equipped with a feature that enables stopping or halting an associated process, action, or movement.
  • C. hasStop
    Indicates that something (such as a route, service, or journey) includes or is associated with a particular stop or stopping point.
  • D. hasStopType
    Indicates that a stop or stopping point is classified as having a particular type or category of stop.
  • E. hasStopInBorough
    Indicates that something, typically a transit route or service, includes at least one stop located within a specified borough.
  • F. None of above. chosen

Provenance (7 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_69f349c3dd2c819092cc9e64809f4a42 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f720cc1bfc8190a16118e3af8e9316 completed May 3, 2026, 10:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37182f9ac0819083dd049c6967ef4e completed June 20, 2026, 10:46 p.m.
NEDg Description generation batch_6a3718f3dc708190ab5a8b7bd3e8a204 completed June 20, 2026, 10:49 p.m.
NED2 Entity disambiguation (via description) batch_6a37197a0d2c8190b4276ab6ac76b890 completed June 20, 2026, 10:51 p.m.
PD Predicate disambiguation batch_69f71cc6397881909aaad37a9daa8a7e completed May 3, 2026, 10 a.m.
PDg Predicate description generation batch_69f71fb0172c81908f23e95ff16b0dec completed May 3, 2026, 10:13 a.m.
Created at: May 1, 2026, 2 a.m.