Triple

T1568547
Position Surface form Disambiguated ID Type / Status
Subject Smithsonian Tropical Research Institute E33487 entity
Predicate shortName P43 FINISHED
Object STRI
STRI is the acronym for the Smithsonian Tropical Research Institute, a leading center for tropical biology and conservation research based in Panama.
E179645 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: STRI | Statement: [Smithsonian Tropical Research Institute, shortName, STRI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: STRI
Context triple: [Smithsonian Tropical Research Institute, shortName, STRI]
  • A. ST
    ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
  • B. ST
    ST is the two-letter ISO 3166-1 alpha-2 country code representing São Tomé and Príncipe.
  • C. STE
    STE is the vehicle registration code assigned to the district of Lichtenfels in Germany.
  • D. TRST
    TRST is an optional active-low reset signal used in JTAG (IEEE 1149.1) interfaces to asynchronously reset the test access port controller.
  • E. Strijp
    Strijp is a district in the Dutch city of Eindhoven, historically known for its strong association with Philips and its transformation into a creative and cultural hub.
  • 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: STRI
Triple: [Smithsonian Tropical Research Institute, shortName, STRI]
Generated description
STRI is the acronym for the Smithsonian Tropical Research Institute, a leading center for tropical biology and conservation research based in Panama.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: STRI
Target entity description: STRI is the acronym for the Smithsonian Tropical Research Institute, a leading center for tropical biology and conservation research based in Panama.
  • A. ST
    ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
  • B. ST
    ST is the two-letter ISO 3166-1 alpha-2 country code representing São Tomé and Príncipe.
  • C. STE
    STE is the vehicle registration code assigned to the district of Lichtenfels in Germany.
  • D. TRST
    TRST is an optional active-low reset signal used in JTAG (IEEE 1149.1) interfaces to asynchronously reset the test access port controller.
  • E. Strijp
    Strijp is a district in the Dutch city of Eindhoven, historically known for its strong association with Philips and its transformation into a creative and cultural hub.
  • 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_69a885f11b048190935025a035302715 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908a15e308190b8bec55d1712812a completed March 5, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad4023da008190a947cf0d2983df2e completed March 8, 2026, 9:23 a.m.
NEDg Description generation batch_69ad410ba7f881909dcee6e6fd56490f completed March 8, 2026, 9:27 a.m.
NED2 Entity disambiguation (via description) batch_69ad41ff0b0c8190b5429ed6952a0ce6 completed March 8, 2026, 9:31 a.m.
Created at: March 4, 2026, 7:27 p.m.