Triple
T38664510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aquarium of Niagara |
E940416
|
entity |
| Predicate | hasMainEntranceOnStreet |
P461
|
FINISHED |
| Object |
Whirlpool Street
Whirlpool Street is a roadway in Niagara Falls, New York, known for running near major attractions such as the Aquarium of Niagara.
|
E2293813
|
NE FINISHED |
How this triple was built (3 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: Whirlpool Street | Statement: [Aquarium of Niagara, hasMainEntranceOnStreet, Whirlpool Street]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Whirlpool Street Triple: [Aquarium of Niagara, hasMainEntranceOnStreet, Whirlpool Street]
Generated description
Whirlpool Street is a roadway in Niagara Falls, New York, known for running near major attractions such as the Aquarium of Niagara.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainEntranceOnStreet Context triple: [Aquarium of Niagara, hasMainEntranceOnStreet, Whirlpool Street]
-
A.
isMainEntrance
Indicates that an entrance serves as the primary or principal access point to a place or building.
-
B.
hasMainResidentialStreet
Indicates that an entity is associated with or served by a specific primary street used predominantly for residential purposes.
-
C.
hasMainStreet
chosen
Indicates that a place or locality possesses a primary street commonly recognized as its main thoroughfare.
-
D.
hasConnectingStreet
Indicates that two locations are linked by a street that directly connects them.
-
E.
isThoroughfareFor
Indicates that something serves as a route or passageway used for travel or transportation between places.
- F. None of above.
Provenance (6 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_69f76edfde348190bf6529d9f49ecd62 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a7b032a9b8881909bb5652086950f74 |
completed | Aug. 11, 2026, 11:10 a.m. |
| NEDg | Description generation | batch_6a7b03aa8f708190bac1f16190c7e614 |
completed | Aug. 11, 2026, 11:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a7b0668e0188190a1fe1e19e94441a1 |
completed | Aug. 11, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_6a037a2026248190b894436a578d79ac |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:33 p.m.