Triple

T22589549
Position Surface form Disambiguated ID Type / Status
Subject Easterwood Airport E564904 entity
Predicate FAA LID P420 FINISHED
Object CLL NE NERFINISHED

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: CLL | Statement: [Easterwood Airport, FAA LID, CLL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CLL
Context triple: [Easterwood Airport, FAA LID, CLL]
  • A. CLL chosen
    CLL is the IATA airport code for Easterwood Airport, a regional airport serving College Station, Texas.
  • B. chronic lymphocytic leukemia
    Chronic lymphocytic leukemia is a slow-growing cancer of the blood and bone marrow characterized by an overproduction of abnormal lymphocytes, most commonly affecting older adults.
  • C. CML
    CML is the Institute of Environmental Sciences at Leiden University, a research institute focused on environmental sustainability and related scientific studies.
  • D. Hodgkin
    Hodgkin is a surname most famously associated with Dorothy Hodgkin, the Nobel Prize–winning British chemist who advanced the field of X-ray crystallography.
  • E. Waldenström macroglobulinemia
    Waldenström macroglobulinemia is a rare, indolent B-cell lymphoma characterized by bone marrow infiltration and excessive production of IgM monoclonal protein, leading to symptoms such as anemia, hyperviscosity, and neuropathy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245836014819091b91ed3074742a3 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1615f63788190acf776b313f0794a completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 2:48 p.m.