Triple
T22589521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Easterwood Airport |
E564903
|
entity |
| Predicate | IATA code |
P2569
|
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, IATA code, CLL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CLL Context triple: [Easterwood Airport, IATA code, 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.
non-Hodgkin lymphoma
Non-Hodgkin lymphoma is a diverse group of blood cancers that originate in the lymphatic system from abnormal lymphocytes and can vary widely in aggressiveness and prognosis.
- 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.