Triple
T31110905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tioga-Hammond Lakes flood control system |
E792940
|
entity |
| Predicate | connectedReservoirs |
P125916
|
FINISHED |
| Object | Tioga Lake |
—
|
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: Tioga Lake | Statement: [Tioga-Hammond Lakes flood control system, connectedReservoirs, Tioga Lake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectedReservoirs Context triple: [Tioga-Hammond Lakes flood control system, connectedReservoirs, Tioga Lake]
-
A.
relatedReservoir
chosen
Indicates that one reservoir has a specified relationship or association with another reservoir, such as physical connection, shared resources, or functional linkage.
-
B.
connectsReservoir
Indicates that one entity serves as a conduit or linkage that allows water or resources to flow or be transferred between reservoirs.
-
C.
inReservoirSystem
Indicates that one entity is part of, contained within, or managed by a particular reservoir system.
-
D.
includesReservoir
Indicates that one entity contains or encompasses a reservoir as part of its structure, system, or area.
-
E.
reservoirAlsoKnownAs
Indicates that a reservoir is referred to by an alternative name or alias.
- 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_69f224cfd5d881908ec6447bc321cd58 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe831c97c88190b27ecf100e25c2a0 |
completed | May 9, 2026, 12:43 a.m. |
| PD | Predicate disambiguation | batch_69fe7f1b92648190b14e56bcaee5d0ca |
completed | May 9, 2026, 12:26 a.m. |
Created at: April 29, 2026, 9:04 p.m.