Triple
T4477439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pease Pottage |
E100042
|
entity |
| Predicate | hasNearbyVillage |
P4647
|
FINISHED |
| Object |
Colgate
Colgate is a small village in West Sussex, England, known for its rural character and proximity to Horsham.
|
E442633
|
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: Colgate | Statement: [Pease Pottage, hasNearbyVillage, Colgate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colgate Context triple: [Pease Pottage, hasNearbyVillage, Colgate]
-
A.
Colgate-Palmolive
Colgate-Palmolive is a global consumer products company best known for its oral care, personal care, home care, and pet nutrition brands.
-
B.
Colgate Thirteen
Colgate Thirteen is a renowned all-male a cappella group from Colgate University known for performing at high-profile events, including the national anthem at Super Bowl XIII.
-
C.
Crest
Crest is a well-known oral care brand, particularly recognized for its toothpastes and whitening products.
-
D.
Crest
Crest is a historic town in southeastern France’s Drôme department, best known for its medieval tower, one of the tallest castle keeps in Europe.
-
E.
Lifebuoy
Lifebuoy is a long-established global soap and hygiene brand known for its antibacterial products and health-focused marketing.
- 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: Colgate Triple: [Pease Pottage, hasNearbyVillage, Colgate]
Generated description
Colgate is a small village in West Sussex, England, known for its rural character and proximity to Horsham.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Colgate Target entity description: Colgate is a small village in West Sussex, England, known for its rural character and proximity to Horsham.
-
A.
Colgate-Palmolive
Colgate-Palmolive is a global consumer products company best known for its oral care, personal care, home care, and pet nutrition brands.
-
B.
Colgate Thirteen
Colgate Thirteen is a renowned all-male a cappella group from Colgate University known for performing at high-profile events, including the national anthem at Super Bowl XIII.
-
C.
Crest
Crest is a well-known oral care brand, particularly recognized for its toothpastes and whitening products.
-
D.
Crest
Crest is a historic town in southeastern France’s Drôme department, best known for its medieval tower, one of the tallest castle keeps in Europe.
-
E.
Lifebuoy
Lifebuoy is a long-established global soap and hygiene brand known for its antibacterial products and health-focused marketing.
- 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_69b34553cbe48190afa8ac1cac285b86 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356d9d1d08190b3f9356eefd237dc |
completed | March 13, 2026, 12:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6288434188190a23c48267f55ce1e |
completed | March 15, 2026, 3:33 a.m. |
| NEDg | Description generation | batch_69b62c7f847c81908335cef514f402ee |
completed | March 15, 2026, 3:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b62d248a2881908a314a8919c7648e |
completed | March 15, 2026, 3:53 a.m. |
Created at: March 12, 2026, 11:35 p.m.