Triple
T6098401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCBI E-utilities API |
E135932
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
EInfo
EInfo is an NCBI E-utilities endpoint that provides metadata and field information about a specific NCBI database.
|
E569471
|
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: EInfo | Statement: [NCBI E-utilities API, hasComponent, EInfo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EInfo Context triple: [NCBI E-utilities API, hasComponent, EInfo]
-
A.
E.I.
"E.I." is a hit hip-hop single by American rapper Nelly from his debut album "Country Grammar."
-
B.
EIT
EIT is a European Union body that fosters innovation, entrepreneurship, and education by integrating business, research, and higher education institutions across Europe.
-
C.
EIS
EIS is a U.S. Centers for Disease Control and Prevention (CDC) training and service program that develops disease detectives who investigate and respond to public health threats and outbreaks.
-
D.
EIS
EIS is a comprehensive document required by environmental regulations that evaluates the potential environmental effects of proposed projects or actions before decisions are made.
-
E.
Eext
Eext is a small village in the Dutch province of Drenthe, known for its rural character and surrounding natural landscapes.
- 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: EInfo Triple: [NCBI E-utilities API, hasComponent, EInfo]
Generated description
EInfo is an NCBI E-utilities endpoint that provides metadata and field information about a specific NCBI database.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EInfo Target entity description: EInfo is an NCBI E-utilities endpoint that provides metadata and field information about a specific NCBI database.
-
A.
E.I.
"E.I." is a hit hip-hop single by American rapper Nelly from his debut album "Country Grammar."
-
B.
EIT
EIT is a European Union body that fosters innovation, entrepreneurship, and education by integrating business, research, and higher education institutions across Europe.
-
C.
EIS
EIS is a U.S. Centers for Disease Control and Prevention (CDC) training and service program that develops disease detectives who investigate and respond to public health threats and outbreaks.
-
D.
EIS
EIS is a comprehensive document required by environmental regulations that evaluates the potential environmental effects of proposed projects or actions before decisions are made.
-
E.
Eext
Eext is a small village in the Dutch province of Drenthe, known for its rural character and surrounding natural landscapes.
- 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05a9a02888190ac201acd14c3fc31 |
completed | March 22, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c125475548819086b733a80056eba5 |
completed | March 23, 2026, 11:34 a.m. |
| NEDg | Description generation | batch_69c128753cd8819096edb3c817bfae10 |
completed | March 23, 2026, 11:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c129134ce08190ada54a7b3eda27f4 |
completed | March 23, 2026, 11:50 a.m. |
Created at: March 22, 2026, 4:12 p.m.