Triple
T6793380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Point |
E155990
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Wood End
Wood End is a coastal area at the tip of Cape Cod in Provincetown, Massachusetts, known for its historic Wood End Light lighthouse and surrounding dunes and salt marshes.
|
E152047
|
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: Wood End | Statement: [Long Point, near, Wood End]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wood End Context triple: [Long Point, near, Wood End]
-
A.
Lenswood
Lenswood is a small rural town in South Australia's Adelaide Hills region, known for its cool-climate orchards and scenic vineyards.
-
B.
Threepwood
Threepwood is the aristocratic family name of the eccentric Blandings Castle clan in P. G. Wodehouse’s comic novels.
-
C.
Wood End Light
Wood End Light is a historic lighthouse located at the entrance of Provincetown Harbor on Cape Cod, Massachusetts, guiding vessels navigating the outer reaches of Cape Cod Bay.
-
D.
How Wood
How Wood is a residential suburb and railway-served locality near St Albans in Hertfordshire, England.
-
E.
De Wood
De Wood is a specific variant or form of wood distinguished from the general category of wood materials.
- 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: Wood End Triple: [Long Point, near, Wood End]
Generated description
Wood End is a coastal area at the tip of Cape Cod in Provincetown, Massachusetts, known for its historic Wood End Light lighthouse and surrounding dunes and salt marshes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wood End Target entity description: Wood End is a coastal area at the tip of Cape Cod in Provincetown, Massachusetts, known for its historic Wood End Light lighthouse and surrounding dunes and salt marshes.
-
A.
Lenswood
Lenswood is a small rural town in South Australia's Adelaide Hills region, known for its cool-climate orchards and scenic vineyards.
-
B.
Threepwood
Threepwood is the aristocratic family name of the eccentric Blandings Castle clan in P. G. Wodehouse’s comic novels.
-
C.
Wood End Light
chosen
Wood End Light is a historic lighthouse located at the entrance of Provincetown Harbor on Cape Cod, Massachusetts, guiding vessels navigating the outer reaches of Cape Cod Bay.
-
D.
How Wood
How Wood is a residential suburb and railway-served locality near St Albans in Hertfordshire, England.
-
E.
De Wood
De Wood is a specific variant or form of wood distinguished from the general category of wood materials.
- F. None of above.
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_69c6881844448190a65822d9b39d7f88 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2af6f908190809e39b73894e513 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a90dfb081909120e8502b26a88b |
completed | March 28, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69c71b88b27c8190b803f0e9f6402c44 |
completed | March 28, 2026, 12:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c71c91e08c81908be81efc2087464a |
completed | March 28, 2026, 12:10 a.m. |
Created at: March 27, 2026, 2:15 p.m.