Triple
T35632566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noank smack |
E1029625
|
entity |
| Predicate | primaryWaters |
P106272
|
FINISHED |
| Object | Long Island Sound |
E17706
|
NE 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: Long Island Sound | Statement: [Noank smack, primaryWaters, Long Island Sound]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryWaters Context triple: [Noank smack, primaryWaters, Long Island Sound]
-
A.
primaryHydrology
Indicates the main hydrological feature (such as a river, lake, or water system) that predominantly characterizes or influences a given area or entity.
-
B.
primaryWaterways
chosen
Indicates that the related entities are connected through major or principal bodies of water, such as main rivers, canals, or shipping routes that serve as key waterways between them.
-
C.
primarySea
Indicates that one entity is the main or principal sea associated with another entity (such as a place, route, or feature).
-
D.
primaryWaterfall
Indicates that one entity serves as the main or most significant waterfall associated with another entity.
-
E.
primaryCatch
Indicates that an entity is the main or most significant target, recipient, or object captured or obtained in a given context.
- F. None of above.
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_69f76e07bb0c8190968ea2d836fc42c9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a387d013860819080c90017c6a2be15 |
completed | June 22, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:05 p.m.