Triple
T4656893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pickwick Landing Dam |
E102430
|
entity |
| Predicate | numberOfSpillwayBays |
P46585
|
FINISHED |
| Object | 24 |
—
|
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: 24 | Statement: [Pickwick Landing Dam, numberOfSpillwayBays, 24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSpillwayBays Context triple: [Pickwick Landing Dam, numberOfSpillwayBays, 24]
-
A.
hasSpillwayGates
Indicates that a structure, typically a dam or spillway, is equipped with one or more controllable gates for regulating water flow.
-
B.
hasSpillway
Indicates that a dam or similar water-retaining structure is equipped with a spillway for controlled release or overflow of water.
-
C.
hasAuxiliarySpillway
Indicates that a structure, typically a dam or reservoir, is equipped with an additional spillway used to safely pass excess water beyond the capacity of the main spillway.
-
D.
numberOfDams
Indicates the quantity of dams associated with or present in a given entity or context.
-
E.
numberOfBays
chosen
Indicates the count of distinct bays associated with or contained within a given entity.
- 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_69bd43d823288190952279faa0d1d066 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd631a855c81909773737fd238a14d |
completed | March 20, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69bd62126b0c81909ba3f21b21e30d54 |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:14 p.m.