Triple
T3370314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Troezen |
E70938
|
entity |
| Predicate | modernNearbySettlement |
P8489
|
FINISHED |
| Object |
Trizina
Trizina is a modern Greek settlement located near the ancient city of Troezen in the northeastern Peloponnese.
|
E354009
|
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: Trizina | Statement: [Troezen, modernNearbySettlement, Trizina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trizina Context triple: [Troezen, modernNearbySettlement, Trizina]
-
A.
Tribeni
Tribeni is a town in West Bengal, India, historically known as a sacred confluence point of rivers and an important riverside settlement.
-
B.
Sutsilvan
Sutsilvan is a traditional variety of the Romansh language historically spoken in parts of the Swiss canton of Graubünden.
-
C.
Trezzini
Trezzini is an Italian-origin surname most notably associated with Domenico Trezzini, the Swiss-Italian architect who helped shape early 18th-century Saint Petersburg.
-
D.
Natrinai
Natrinai is an ancient Tamil poetic anthology of the Sangam era, comprising short love poems that explore themes of romance, nature, and human emotion.
-
E.
Rivodutri
Rivodutri is a small Italian municipality in the Lazio region, known for its historic village setting amid the natural landscapes of the Province of Rieti.
- 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: Trizina Triple: [Troezen, modernNearbySettlement, Trizina]
Generated description
Trizina is a modern Greek settlement located near the ancient city of Troezen in the northeastern Peloponnese.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trizina Target entity description: Trizina is a modern Greek settlement located near the ancient city of Troezen in the northeastern Peloponnese.
-
A.
Tribeni
Tribeni is a town in West Bengal, India, historically known as a sacred confluence point of rivers and an important riverside settlement.
-
B.
Sutsilvan
Sutsilvan is a traditional variety of the Romansh language historically spoken in parts of the Swiss canton of Graubünden.
-
C.
Trezzini
Trezzini is an Italian-origin surname most notably associated with Domenico Trezzini, the Swiss-Italian architect who helped shape early 18th-century Saint Petersburg.
-
D.
Natrinai
Natrinai is an ancient Tamil poetic anthology of the Sangam era, comprising short love poems that explore themes of romance, nature, and human emotion.
-
E.
Rivodutri
Rivodutri is a small Italian municipality in the Lazio region, known for its historic village setting amid the natural landscapes of the Province of Rieti.
- 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_69ad85a729d48190afd789cd8417f289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2bb32f88190bacf50e11b50fe99 |
completed | March 8, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3343cc70081908facb693c6045ff7 |
completed | March 12, 2026, 9:46 p.m. |
| NEDg | Description generation | batch_69b334e5171c8190a01bb6fef5644825 |
completed | March 12, 2026, 9:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3390c50b08190b6239b5f0d1eb4ba |
completed | March 12, 2026, 10:07 p.m. |
Created at: March 8, 2026, 3:13 p.m.