Triple
T7180968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amstelveenlijn |
E167444
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Gondel
Gondel is a tram stop on Amsterdam’s Amstelveenlijn serving the surrounding residential area in Amstelveen, Netherlands.
|
E647244
|
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: Gondel | Statement: [Amstelveenlijn, hasStation, Gondel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gondel Context triple: [Amstelveenlijn, hasStation, Gondel]
-
A.
Heavenly Gondola
Heavenly Gondola is a scenic aerial tramway at Heavenly Mountain Resort that transports visitors between South Lake Tahoe and the resort’s mountain slopes, offering panoramic views of the lake and surrounding Sierra Nevada.
-
B.
Galeata
Galeata is a small historic town in Italy’s Emilia-Romagna region, known for its Roman and medieval heritage in the Apennine foothills.
-
C.
Paparoa
Paparoa is a small rural settlement in New Zealand known for its historic village character and location in the Northland Region.
-
D.
Crane
Crane is a common English surname borne by numerous notable individuals across literature, politics, and other fields.
-
E.
Argosy
Argosy is a British pulp magazine best known for publishing adventure and genre fiction during the early to mid-20th century.
- 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: Gondel Triple: [Amstelveenlijn, hasStation, Gondel]
Generated description
Gondel is a tram stop on Amsterdam’s Amstelveenlijn serving the surrounding residential area in Amstelveen, Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gondel Target entity description: Gondel is a tram stop on Amsterdam’s Amstelveenlijn serving the surrounding residential area in Amstelveen, Netherlands.
-
A.
Heavenly Gondola
Heavenly Gondola is a scenic aerial tramway at Heavenly Mountain Resort that transports visitors between South Lake Tahoe and the resort’s mountain slopes, offering panoramic views of the lake and surrounding Sierra Nevada.
-
B.
Galeata
Galeata is a small historic town in Italy’s Emilia-Romagna region, known for its Roman and medieval heritage in the Apennine foothills.
-
C.
Paparoa
Paparoa is a small rural settlement in New Zealand known for its historic village character and location in the Northland Region.
-
D.
Crane
Crane is a common English surname borne by numerous notable individuals across literature, politics, and other fields.
-
E.
Argosy
Argosy is a British pulp magazine best known for publishing adventure and genre fiction during the early to mid-20th century.
- 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8ba91908190a9055d4e026b655c |
completed | March 27, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b93d04ec8190ac5c5bf9ace7eca1 |
completed | March 28, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69c7b9e55f84819099af471a65bb68aa |
completed | March 28, 2026, 11:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7ba9317548190946e21c2731d58a7 |
completed | March 28, 2026, 11:25 a.m. |
Created at: March 27, 2026, 2:49 p.m.