Triple
T7342234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katwijk |
E169281
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
’t Heen
’t Heen is a neighborhood or area within the Dutch coastal municipality of Katwijk in South Holland.
|
E658598
|
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: ’t Heen | Statement: [Katwijk, hasPart, ’t Heen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ’t Heen Context triple: [Katwijk, hasPart, ’t Heen]
-
A.
Hein
Hein is a Dutch surname most notably borne by Piet Hein, a renowned 17th-century naval officer and folk hero of the Dutch Republic.
-
B.
Wanhatti
Wanhatti is a village in Suriname known as a Maroon settlement located within the country’s eastern Marowijne District.
-
C.
Heida
Heida is a traditional white wine grape variety from Switzerland’s Valais region, known for producing aromatic, full-bodied wines with good acidity and aging potential.
-
D.
Hechi
Hechi is a prefecture-level city in northwestern Guangxi, China, known for its karst landscapes, ethnic diversity, and rich mineral resources.
-
E.
Hekari
Hekari is a regional dialect of the Kurmanji variety of the Kurdish language, spoken in parts of the Hakkari region.
- 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: ’t Heen Triple: [Katwijk, hasPart, ’t Heen]
Generated description
’t Heen is a neighborhood or area within the Dutch coastal municipality of Katwijk in South Holland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ’t Heen Target entity description: ’t Heen is a neighborhood or area within the Dutch coastal municipality of Katwijk in South Holland.
-
A.
Hein
Hein is a Dutch surname most notably borne by Piet Hein, a renowned 17th-century naval officer and folk hero of the Dutch Republic.
-
B.
Wanhatti
Wanhatti is a village in Suriname known as a Maroon settlement located within the country’s eastern Marowijne District.
-
C.
Heida
Heida is a traditional white wine grape variety from Switzerland’s Valais region, known for producing aromatic, full-bodied wines with good acidity and aging potential.
-
D.
Hechi
Hechi is a prefecture-level city in northwestern Guangxi, China, known for its karst landscapes, ethnic diversity, and rich mineral resources.
-
E.
Hekari
Hekari is a regional dialect of the Kurmanji variety of the Kurdish language, spoken in parts of the Hakkari region.
- 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_69c68a57710481909f0c1f3c6ebdb6f2 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0db2db8819088c4bed5d65571f6 |
completed | March 27, 2026, 9:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fa867b7881908590ca1ea195b1b5 |
completed | March 28, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69c7fc13167c819084ff05d780fc4394 |
completed | March 28, 2026, 4:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7fd453fac8190862000bd670b5695 |
completed | March 28, 2026, 4:09 p.m. |
Created at: March 27, 2026, 3:04 p.m.