Triple
T1510070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalpeni |
E33993
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Pitti
Pitti is a small, uninhabited coral islet in the Lakshadweep archipelago of India, known as an important nesting site for seabirds.
|
E173233
|
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: Pitti | Statement: [Kalpeni, hasIsland, Pitti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pitti Context triple: [Kalpeni, hasIsland, Pitti]
-
A.
Messe
Messe is a Nuremberg U-Bahn station serving the city’s exhibition and trade fair grounds.
-
B.
Lucca
Lucca is a historic Tuscan city renowned for its well-preserved Renaissance walls, medieval architecture, and charming old town.
-
C.
Ponte Vecchio
Ponte Vecchio is a medieval stone arch bridge in Florence, Italy, famous for the shops built along it and its historic role spanning the Arno River.
-
D.
Aosta
Aosta is a historic town in northwestern Italy known as the capital of the Aosta Valley region and for its well-preserved Roman and medieval architecture.
-
E.
Tivoli
Tivoli is an Italian hill town east of Rome renowned for its historic villas and gardens, including Emperor Hadrian’s vast imperial retreat, Hadrian’s Villa.
- 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: Pitti Triple: [Kalpeni, hasIsland, Pitti]
Generated description
Pitti is a small, uninhabited coral islet in the Lakshadweep archipelago of India, known as an important nesting site for seabirds.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pitti Target entity description: Pitti is a small, uninhabited coral islet in the Lakshadweep archipelago of India, known as an important nesting site for seabirds.
-
A.
Messe
Messe is a Nuremberg U-Bahn station serving the city’s exhibition and trade fair grounds.
-
B.
Lucca
Lucca is a historic Tuscan city renowned for its well-preserved Renaissance walls, medieval architecture, and charming old town.
-
C.
Ponte Vecchio
Ponte Vecchio is a medieval stone arch bridge in Florence, Italy, famous for the shops built along it and its historic role spanning the Arno River.
-
D.
Aosta
Aosta is a historic town in northwestern Italy known as the capital of the Aosta Valley region and for its well-preserved Roman and medieval architecture.
-
E.
Tivoli
Tivoli is an Italian hill town east of Rome renowned for its historic villas and gardens, including Emperor Hadrian’s vast imperial retreat, Hadrian’s Villa.
- 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a8891e9da881909d0b12f1bc05863f |
completed | March 4, 2026, 7:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad233c254c8190b52b34526c9cb3cb |
completed | March 8, 2026, 7:20 a.m. |
| NEDg | Description generation | batch_69ad242d20448190a27ff7414d9cff21 |
completed | March 8, 2026, 7:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad24e6e9688190a20c67c181936e98 |
completed | March 8, 2026, 7:27 a.m. |
Created at: March 4, 2026, 7:24 p.m.