Triple
T37792786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HRS |
E942127
|
entity |
| Predicate | includesExposurePathway |
P52267
|
FINISHED |
| Object | groundwater migration |
—
|
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: groundwater migration | Statement: [HRS, includesExposurePathway, groundwater migration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesExposurePathway Context triple: [HRS, includesExposurePathway, groundwater migration]
-
A.
includesPathwaysFor
Indicates that one entity contains or provides designated routes, channels, or mechanisms that enable movement, flow, or progression for another entity or process.
-
B.
routeOfExposure
chosen
Indicates the pathway or method by which an agent, substance, or factor comes into contact with or enters an organism or system.
-
C.
hasPathway
Indicates that there exists a route, channel, or sequence of steps through which one entity leads, connects, or gives access to another.
-
D.
includesPathogensOf
Indicates that one entity contains or encompasses the pathogens that are associated with or originate from another entity.
-
E.
includesPathogens
Indicates that the subject entity contains, carries, or is associated with one or more pathogenic organisms.
- 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_69f76ee6f1f4819091e2cf9c9e6aee19 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:19 p.m.