Triple
T4605375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mikrolimano |
E100418
|
entity |
| Predicate | hasFormerName |
P65
|
FINISHED |
| Object |
Tourkolimano
Tourkolimano is a picturesque small harbor in Piraeus, Greece, known for its seafood tavernas and vibrant waterfront atmosphere.
|
E456043
|
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: Tourkolimano | Statement: [Mikrolimano, hasFormerName, Tourkolimano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tourkolimano Context triple: [Mikrolimano, hasFormerName, Tourkolimano]
-
A.
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.
-
B.
Tilantongo
Tilantongo was a prominent pre-Columbian Mixtec city-state in present-day Oaxaca, Mexico, known as a political and cultural hub of the Mixtec civilization.
-
C.
Pakurumo
Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
-
D.
Tuburan
Tuburan is a coastal municipality in the province of Cebu in the Philippines, known for its natural springs and rural landscapes.
-
E.
Aytapec
Aytapec is a musical track featured on the album "Inca Taqui."
- 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: Tourkolimano Triple: [Mikrolimano, hasFormerName, Tourkolimano]
Generated description
Tourkolimano is a picturesque small harbor in Piraeus, Greece, known for its seafood tavernas and vibrant waterfront atmosphere.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tourkolimano Target entity description: Tourkolimano is a picturesque small harbor in Piraeus, Greece, known for its seafood tavernas and vibrant waterfront atmosphere.
-
A.
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.
-
B.
Tilantongo
Tilantongo was a prominent pre-Columbian Mixtec city-state in present-day Oaxaca, Mexico, known as a political and cultural hub of the Mixtec civilization.
-
C.
Pakurumo
Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
-
D.
Tuburan
Tuburan is a coastal municipality in the province of Cebu in the Philippines, known for its natural springs and rural landscapes.
-
E.
Aytapec
Aytapec is a musical track featured on the album "Inca Taqui."
- 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_69bd43cce1e08190a07d53af6a9b6c24 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd599b1f0881909fd693b81ff44f98 |
completed | March 20, 2026, 2:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfa6d24808190a4edc426b8b719cd |
completed | March 21, 2026, 1:54 a.m. |
| NEDg | Description generation | batch_69bdfbea628c81908f96e706d650ef9f |
completed | March 21, 2026, 2:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfc97fc54819093e0cff18a40bde2 |
completed | March 21, 2026, 2:04 a.m. |
Created at: March 20, 2026, 1:12 p.m.