Triple
T21361929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zeevang |
E526803
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Schardam
Schardam is a small village in the Dutch province of North Holland, known for its historic waterfront and traditional rural character.
|
E1480178
|
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: Schardam | Statement: [Zeevang, hasVillage, Schardam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schardam Context triple: [Zeevang, hasVillage, Schardam]
-
A.
Shendam
Shendam is a historic town and local government area in central Nigeria known as one of the oldest settlements in Plateau State and a regional administrative and commercial center.
-
B.
Kadmat
Kadmat is a coral island in India’s Lakshadweep archipelago, known for its white-sand beaches, clear lagoons, and vibrant marine life that make it a popular destination for snorkeling and diving.
-
C.
Selmah
Selmah is a less common spelling variant of the given name Selma, used as a feminine first name in various cultures.
-
D.
Shandar
Shandar was a French avant-garde record label known for releasing experimental and free jazz recordings in the 1970s.
-
E.
Radwar
Radwar is a prominent Polish defense company known for developing and producing advanced radar and air-defense systems.
- 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: Schardam Triple: [Zeevang, hasVillage, Schardam]
Generated description
Schardam is a small village in the Dutch province of North Holland, known for its historic waterfront and traditional rural character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schardam Target entity description: Schardam is a small village in the Dutch province of North Holland, known for its historic waterfront and traditional rural character.
-
A.
Shendam
Shendam is a historic town and local government area in central Nigeria known as one of the oldest settlements in Plateau State and a regional administrative and commercial center.
-
B.
Kadmat
Kadmat is a coral island in India’s Lakshadweep archipelago, known for its white-sand beaches, clear lagoons, and vibrant marine life that make it a popular destination for snorkeling and diving.
-
C.
Selmah
Selmah is a less common spelling variant of the given name Selma, used as a feminine first name in various cultures.
-
D.
Shandar
Shandar was a French avant-garde record label known for releasing experimental and free jazz recordings in the 1970s.
-
E.
Radwar
Radwar is a prominent Polish defense company known for developing and producing advanced radar and air-defense systems.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b06b219c81908f7674ae459e7931 |
completed | April 22, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09ad69993881909b52927f7372fa0a |
completed | May 17, 2026, 11:58 a.m. |
| NEDg | Description generation | batch_6a09ae3744588190877e88dd38a80ebd |
completed | May 17, 2026, 12:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09af2184808190b42b5073e90bd83d |
completed | May 17, 2026, 12:05 p.m. |
Created at: April 16, 2026, 5:08 p.m.