Triple
T6553818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piscataquog River |
E152394
|
entity |
| Predicate | hasBasinSize |
P1641
|
FINISHED |
| Object | over 200 square miles (approximate) |
—
|
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: over 200 square miles (approximate) | Statement: [Piscataquog River, hasBasinSize, over 200 square miles (approximate)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBasinSize Context triple: [Piscataquog River, hasBasinSize, over 200 square miles (approximate)]
-
A.
hasBasinPopulation
Indicates that a geographic basin is associated with a specific number of inhabitants living within its area.
-
B.
locatedInBasin
Indicates that one geographical or hydrological feature lies within the drainage or catchment area of a specified basin.
-
C.
basinType
Indicates the specific kind or classification of a basin associated with an entity (e.g., by form, function, or hydrological role).
-
D.
basinState
Indicates that a state contains or encompasses the drainage basin or watershed of a particular river or water system.
-
E.
drainageBasinArea
chosen
Indicates the total surface area of land from which precipitation and runoff drain into a particular water body or watershed.
- 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_69c688058d6881908c19b309cc55dbfa |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6c1b15d3481908ae66e3d7564b352 |
completed | March 27, 2026, 5:43 p.m. |
| PD | Predicate disambiguation | batch_69c6acf6d4148190914b19e9affd8c76 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:51 p.m.