Triple
T12963938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malate, Manila |
E321215
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Baywalk |
E261768
|
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: Baywalk | Statement: [Malate, Manila, hasLandmark, Baywalk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baywalk Context triple: [Malate, Manila, hasLandmark, Baywalk]
-
A.
Baywalk
chosen
Baywalk is a popular seaside promenade along Manila Bay in the Malate district of Manila, known for its sunset views, leisure activities, and entertainment spots.
-
B.
Harborwalk
Harborwalk is a public waterfront walkway in Boston that connects neighborhoods, parks, and cultural sites along the city’s shoreline.
-
C.
Water Street
Water Street is a common street name in many cities, typically located close to a waterfront or harbor area and often associated with historic commercial or maritime districts.
-
D.
Harbor Walk
Harbor Walk is a waterfront promenade in Kobe’s Harborland district, known for its scenic views, shopping, and dining along the harbor.
-
E.
Urunga Boardwalk
Urunga Boardwalk is a scenic coastal walkway in Urunga, New South Wales, known for its long timber path over wetlands and estuary with views of the Bellinger and Kalang rivers meeting the ocean.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e30b7e88190ac07c91147b62d16 |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8e227948190a2d08db97b4e41aa |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 8:25 p.m.