Triple
T13110802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Floating Harbour |
E310964
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Watershed |
E461359
|
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: Watershed | Statement: [Floating Harbour, hasPart, Watershed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Watershed Context triple: [Floating Harbour, hasPart, Watershed]
-
A.
Watershed
chosen
Watershed is a renowned cultural and digital creativity centre in Bristol, England, known for its independent cinema, arts events, and creative technology hub.
-
B.
Watershed
Watershed is a 2008 studio album by Canadian singer-songwriter k.d. lang that blends pop and country influences with introspective, mature songwriting.
-
C.
La Mesa Watershed
La Mesa Watershed is a protected forest and reservoir area in Quezon City that serves as a major source of drinking water and a key urban green space for Metro Manila.
-
D.
Paradise River watershed
The Paradise River watershed is a mountainous drainage basin in Mount Rainier National Park that collects snowmelt and rainfall feeding the Paradise River and its notable waterfalls.
-
E.
Stream
Stream is Microsoft's enterprise video service within Microsoft 365 that enables secure creation, sharing, and management of organizational video content.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817e4f408190b77c198b4157d77a |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e27d8110819087ade3537f867ae0 |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 9:05 p.m.