Triple
T37450315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coxiella |
E930654
|
entity |
| Predicate | vectorOrReservoir |
P187839
|
FINISHED |
| Object | ticks |
—
|
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: ticks | Statement: [Coxiella, vectorOrReservoir, ticks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vectorOrReservoir Context triple: [Coxiella, vectorOrReservoir, ticks]
-
A.
vectorOf
Indicates that one entity is a vector representation or ordered list form of another entity.
-
B.
vectorType
Indicates that one entity is classified as the type or category of vector associated with another entity.
-
C.
vector
Indicates that one entity is a vector associated with, representing, or characterizing another entity (such as a quantity with magnitude and direction, or a carrier/representative of something).
-
D.
isReservoir
Indicates that one entity functions as a storage or holding container (often for fluids or resources) for another entity.
-
E.
usesReservoir
Indicates that one entity draws upon, depends on, or operates using a particular reservoir as a resource or source.
- F. None of above. chosen
Provenance (4 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_69f76ec0b9488190b7a4fae632bd1d2f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb92efc5948190a040ba2028bab964 |
completed | May 6, 2026, 7:13 p.m. |
| PD | Predicate disambiguation | batch_69fb8d0b52588190bb29937a43b99b5e |
completed | May 6, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69fb92ee27408190b0116ef2d789abac |
completed | May 6, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:17 p.m.