Triple
T23460452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manica Province |
E568958
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Gondola
Gondola is a town in central Mozambique that serves as an important local center within Manica Province.
|
E1589372
|
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: Gondola | Statement: [Manica Province, hasMajorCity, Gondola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gondola Context triple: [Manica Province, hasMajorCity, Gondola]
-
A.
Venetian Gondolas
Venetian Gondolas are traditional, flat-bottomed Venetian rowing boats renowned for their elegant black hulls and use as iconic water taxis along the canals of Venice.
-
B.
Gondola (steam yacht)
Gondola is a restored 19th-century Victorian steam yacht that now carries passengers on scenic cruises on Coniston Water in England’s Lake District.
-
C.
Gondel
Gondel is a tram stop on Amsterdam’s Amstelveenlijn serving the surrounding residential area in Amstelveen, Netherlands.
-
D.
Gondola Dorothy
Gondola Dorothy is a sculptural artwork by American artist John Chamberlain, known for his dynamic assemblages of crushed and welded metal.
-
E.
Swan Boats
Swan Boats are iconic, pedal-powered pleasure boats with swan-shaped prows that offer leisurely rides on the lagoon in Boston’s Public Garden.
- 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: Gondola Triple: [Manica Province, hasMajorCity, Gondola]
Generated description
Gondola is a town in central Mozambique that serves as an important local center within Manica Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gondola Target entity description: Gondola is a town in central Mozambique that serves as an important local center within Manica Province.
-
A.
Venetian Gondolas
Venetian Gondolas are traditional, flat-bottomed Venetian rowing boats renowned for their elegant black hulls and use as iconic water taxis along the canals of Venice.
-
B.
Gondola (steam yacht)
Gondola is a restored 19th-century Victorian steam yacht that now carries passengers on scenic cruises on Coniston Water in England’s Lake District.
-
C.
Gondel
Gondel is a tram stop on Amsterdam’s Amstelveenlijn serving the surrounding residential area in Amstelveen, Netherlands.
-
D.
Gondola Dorothy
Gondola Dorothy is a sculptural artwork by American artist John Chamberlain, known for his dynamic assemblages of crushed and welded metal.
-
E.
Swan Boats
Swan Boats are iconic, pedal-powered pleasure boats with swan-shaped prows that offer leisurely rides on the lagoon in Boston’s Public Garden.
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a69afba88190b1b1dd27d331309f |
completed | April 29, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c824ec03c8190b7a526269f6822b1 |
completed | May 19, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_6a0ca6eee2f48190b4e03039c4c96abe |
completed | May 19, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ca80db6288190ae99313c1f2485db |
completed | May 19, 2026, 6:12 p.m. |
Created at: April 17, 2026, 5:53 p.m.