Triple
T24011681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Gastroenterological Association headquarters |
E594547
|
entity |
| Predicate | fieldServed |
P3164
|
FINISHED |
| Object | gastroenterology |
—
|
LITERAL FINISHED |
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: gastroenterology | Statement: [American Gastroenterological Association headquarters, fieldServed, gastroenterology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldServed Context triple: [American Gastroenterological Association headquarters, fieldServed, gastroenterology]
-
A.
servesField
chosen
Indicates that one entity performs a service or function specifically for, or in support of, a particular field, domain, or area of activity.
-
B.
sectorServed
Indicates the industry or economic sector that an entity primarily serves or targets with its activities, products, or services.
-
C.
areaServed
Indicates the geographic region or jurisdiction within which a service, organization, or activity is provided or applicable.
-
D.
strategicAreaServed
Indicates that an entity provides services or exerts influence within a particular area considered strategically important.
-
E.
servedByField
Indicates that an entity is provided, handled, or fulfilled by a particular field, department, or functional area.
- F. None of above.
Provenance (3 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_69e288bc8f608190ac4af29f0bd1c744 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d59d6a2c8190860a44c056030826 |
completed | April 29, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:41 p.m.