Triple

T5854630
Position Surface form Disambiguated ID Type / Status
Subject L3Harris Technologies E130119 entity
Predicate tickerSymbol P1447 FINISHED
Object LHX
LHX is the stock ticker symbol for L3Harris Technologies, a major American defense and aerospace technology company.
 E550039 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: LHX | Statement: [L3Harris Technologies, tickerSymbol, LHX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LHX
Context triple: [L3Harris Technologies, tickerSymbol, LHX]
  • A. LX
    LX is the second-generation Holden Torana series produced in the mid-1970s, notable for introducing the A9X performance package and being a popular Australian mid-size car in both road and racing forms.
  • B. LX
    LX is the IATA airline designator used to identify Swiss International Air Lines on tickets, timetables, and flight numbers.
  • C. HXL
    HXL (Humanitarian Exchange Language) is a lightweight data standard designed to improve the interoperability, quality, and rapid sharing of humanitarian data across organizations and crises.
  • D. LHM
    LHM is the station code for Lillehammer railway station in Norway.
  • E. LXGB
    LXGB is the ICAO airport code for Gibraltar International Airport, a unique airfield known for its runway intersecting a major road near the Rock of Gibraltar.
  • 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: LHX
Triple: [L3Harris Technologies, tickerSymbol, LHX]
Generated description
LHX is the stock ticker symbol for L3Harris Technologies, a major American defense and aerospace technology company.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LHX
Target entity description: LHX is the stock ticker symbol for L3Harris Technologies, a major American defense and aerospace technology company.
  • A. LX
    LX is the second-generation Holden Torana series produced in the mid-1970s, notable for introducing the A9X performance package and being a popular Australian mid-size car in both road and racing forms.
  • B. LX
    LX is the IATA airline designator used to identify Swiss International Air Lines on tickets, timetables, and flight numbers.
  • C. HXL
    HXL (Humanitarian Exchange Language) is a lightweight data standard designed to improve the interoperability, quality, and rapid sharing of humanitarian data across organizations and crises.
  • D. LHM
    LHM is the station code for Lillehammer railway station in Norway.
  • E. LXGB
    LXGB is the ICAO airport code for Gibraltar International Airport, a unique airfield known for its runway intersecting a major road near the Rock of Gibraltar.
  • 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03554651c8190b3009d41eecf6779 completed March 22, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1bc58d081908568294278cbf3a9 completed March 23, 2026, 2:13 a.m.
NEDg Description generation batch_69c0a2ab17f481908f2d492e4d9d90fb completed March 23, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_69c0a323d9248190aa803c27be3d5eec completed March 23, 2026, 2:19 a.m.
Created at: March 22, 2026, 3:55 p.m.