Triple
T360807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town of Yorktown |
E7846
|
entity |
| Predicate | hasHamlet |
P12354
|
FINISHED |
| Object |
Crompond
Crompond is a small hamlet within the town of Yorktown in Westchester County, New York, known primarily as a residential community.
|
E47079
|
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: Crompond | Statement: [Town of Yorktown, hasHamlet, Crompond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crompond Context triple: [Town of Yorktown, hasHamlet, Crompond]
-
A.
Mouton
Mouton is an academic publishing house known for its influential works in linguistics and related fields.
-
B.
Zephyr Cove
Zephyr Cove is a small lakeside community and popular recreation area on the southeastern shore of Lake Tahoe in Nevada, known for its beaches, boating, and scenic mountain views.
-
C.
Houffalize
Houffalize is a small town in the Belgian Ardennes known for its World War II history, outdoor tourism, and scenic natural surroundings.
-
D.
Gamay
Gamay is a red wine grape variety best known for producing light, fruity wines, particularly in France’s Beaujolais region.
-
E.
Culebrita
Culebrita is a small, uninhabited cay off the coast of Culebra, Puerto Rico, known for its pristine beaches, clear waters, and historic lighthouse.
- 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: Crompond Triple: [Town of Yorktown, hasHamlet, Crompond]
Generated description
Crompond is a small hamlet within the town of Yorktown in Westchester County, New York, known primarily as a residential community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Crompond Target entity description: Crompond is a small hamlet within the town of Yorktown in Westchester County, New York, known primarily as a residential community.
-
A.
Mouton
Mouton is an academic publishing house known for its influential works in linguistics and related fields.
-
B.
Zephyr Cove
Zephyr Cove is a small lakeside community and popular recreation area on the southeastern shore of Lake Tahoe in Nevada, known for its beaches, boating, and scenic mountain views.
-
C.
Houffalize
Houffalize is a small town in the Belgian Ardennes known for its World War II history, outdoor tourism, and scenic natural surroundings.
-
D.
Gamay
Gamay is a red wine grape variety best known for producing light, fruity wines, particularly in France’s Beaujolais region.
-
E.
Culebrita
Culebrita is a small, uninhabited cay off the coast of Culebra, Puerto Rico, known for its pristine beaches, clear waters, and historic lighthouse.
- 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_69a2e7e880008190a6ad7e06e5d03007 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ee29ede0819095279af95b53e350 |
completed | Feb. 28, 2026, 1:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3f0a43da48190b9888c60cf565f9d |
completed | March 1, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69a3f13a36c08190b508037c27435b45 |
completed | March 1, 2026, 7:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3f19823608190a0d0b6b4335d6d0a |
completed | March 1, 2026, 7:58 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.