Triple
T20276545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loose |
E503030
|
entity |
| Predicate | hasWatercourse |
P165
|
FINISHED |
| Object |
Loose Stream
Loose Stream is a small river in Kent, England, known for flowing through the village of Loose and its historic mill sites.
|
E1421502
|
NE FINISHED |
How this triple was built (4 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: Loose Stream | Statement: [Loose, hasWatercourse, Loose Stream]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loose Stream Context triple: [Loose, hasWatercourse, Loose Stream]
-
A.
Dead Stream
Dead Stream is a small waterway located in the town of Readfield in central Maine.
-
B.
Sky Stream
Sky Stream is a streaming television service from Sky that delivers live TV and on-demand content over broadband without the need for a satellite dish.
-
C.
Cold Stream
Cold Stream is a smaller waterway in West Virginia that feeds into the Cacapon River as one of its tributary streams.
-
D.
Cold Stream
Cold Stream is a freshwater tributary within Maine’s Penobscot River watershed, contributing to the region’s river and stream network.
-
E.
Go with the Flow
"Go with the Flow" is a high-energy alternative rock song by Queens of the Stone Age, known for its driving rhythm, catchy guitar riffs, and prominent music video that helped cement the band's mainstream popularity.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Loose Stream Triple: [Loose, hasWatercourse, Loose Stream]
Generated description
Loose Stream is a small river in Kent, England, known for flowing through the village of Loose and its historic mill sites.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Loose Stream Target entity description: Loose Stream is a small river in Kent, England, known for flowing through the village of Loose and its historic mill sites.
-
A.
Dead Stream
Dead Stream is a small waterway located in the town of Readfield in central Maine.
-
B.
Sky Stream
Sky Stream is a streaming television service from Sky that delivers live TV and on-demand content over broadband without the need for a satellite dish.
-
C.
Cold Stream
Cold Stream is a smaller waterway in West Virginia that feeds into the Cacapon River as one of its tributary streams.
-
D.
Cold Stream
Cold Stream is a freshwater tributary within Maine’s Penobscot River watershed, contributing to the region’s river and stream network.
-
E.
Go with the Flow
"Go with the Flow" is a high-energy alternative rock song by Queens of the Stone Age, known for its driving rhythm, catchy guitar riffs, and prominent music video that helped cement the band's mainstream popularity.
- F. None of above. chosen
Provenance (5 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_69e0b4b0e79c8190bd61f22ef1329fa8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e675e3df68819096fb859bc92a0da1 |
completed | April 20, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a085a21233881908fb835541ae88c70 |
completed | May 16, 2026, 11:50 a.m. |
| NEDg | Description generation | batch_6a085a8b52088190976c1ef189de5a5b |
completed | May 16, 2026, 11:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a085af42c1c81908c9ee0f84f9a9481 |
completed | May 16, 2026, 11:54 a.m. |
Created at: April 16, 2026, 10:35 a.m.