Triple
T5911228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argolis regional unit |
E131462
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Tolo
Tolo is a coastal village and popular tourist resort in the Argolis region of the Peloponnese in Greece, known for its beaches and proximity to historic sites like Nafplio.
|
E559654
|
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: Tolo | Statement: [Argolis regional unit, containsSettlement, Tolo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tolo Context triple: [Argolis regional unit, containsSettlement, Tolo]
-
A.
Tigoa
Tigoa is the main administrative and population center of Rennell and Bellona Province in the Solomon Islands.
-
B.
Tongaat
Tongaat is a town in KwaZulu-Natal, South Africa, known for its significant Indian community and sugar industry.
-
C.
Talokan
Talokan is a fictional underwater Mesoamerican-inspired kingdom ruled by Namor in the Marvel Cinematic Universe film "Black Panther: Wakanda Forever."
-
D.
Tontola
Tontola is a small locality or hamlet that forms part of the municipality of Predappio in the Emilia-Romagna region of Italy.
-
E.
Tulunan
Tulunan is a rural municipality in the province of North Cotabato on the island of Mindanao in the Philippines, known primarily for its agricultural economy.
- 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: Tolo Triple: [Argolis regional unit, containsSettlement, Tolo]
Generated description
Tolo is a coastal village and popular tourist resort in the Argolis region of the Peloponnese in Greece, known for its beaches and proximity to historic sites like Nafplio.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tolo Target entity description: Tolo is a coastal village and popular tourist resort in the Argolis region of the Peloponnese in Greece, known for its beaches and proximity to historic sites like Nafplio.
-
A.
Tigoa
Tigoa is the main administrative and population center of Rennell and Bellona Province in the Solomon Islands.
-
B.
Tongaat
Tongaat is a town in KwaZulu-Natal, South Africa, known for its significant Indian community and sugar industry.
-
C.
Talokan
Talokan is a fictional underwater Mesoamerican-inspired kingdom ruled by Namor in the Marvel Cinematic Universe film "Black Panther: Wakanda Forever."
-
D.
Tontola
Tontola is a small locality or hamlet that forms part of the municipality of Predappio in the Emilia-Romagna region of Italy.
-
E.
Tulunan
Tulunan is a rural municipality in the province of North Cotabato on the island of Mindanao in the Philippines, known primarily for its agricultural economy.
- 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_69c008593a44819081a07ae0efe6c574 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c037767af08190b5678cff9fd0816f |
completed | March 22, 2026, 6:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3912f94819086d88cf34a278d3c |
completed | March 23, 2026, 6:54 a.m. |
| NEDg | Description generation | batch_69c0f85e33d8819080d9d721421b4c5b |
completed | March 23, 2026, 8:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0fad0bdf08190bf6599d492848582 |
completed | March 23, 2026, 8:33 a.m. |
Created at: March 22, 2026, 3:59 p.m.