Triple
T12328581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carnac |
E293898
|
entity |
| Predicate | nearbyCommune |
P3883
|
FINISHED |
| Object |
Erdeven
Erdeven is a coastal commune in Brittany, northwestern France, known for its sandy beaches, dunes, and megalithic sites.
|
E974477
|
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: Erdeven | Statement: [Carnac, nearbyCommune, Erdeven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erdeven Context triple: [Carnac, nearbyCommune, Erdeven]
-
A.
Erdek
Erdek is a coastal town and popular seaside resort in Turkey’s Balıkesir Province, located on the Kapıdağ Peninsula along the Sea of Marmara.
-
B.
Erdoíza
Erdoíza is the family name of Chilean independence leader Manuel Rodríguez Erdoíza, a key figure in the struggle against Spanish colonial rule.
-
C.
Ermera
Ermera is a mountainous municipality in central Timor-Leste known for its coffee production and significant Mambae-speaking population.
-
D.
Eordaea
Eordaea was an ancient region in Upper Macedonia, known as one of the early Macedonian tribal areas in the northwest of the kingdom.
-
E.
Areora
Areora is a small village on the island of Mauke in the Cook Islands, known for its traditional Polynesian community and rural setting.
- 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: Erdeven Triple: [Carnac, nearbyCommune, Erdeven]
Generated description
Erdeven is a coastal commune in Brittany, northwestern France, known for its sandy beaches, dunes, and megalithic sites.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Erdeven Target entity description: Erdeven is a coastal commune in Brittany, northwestern France, known for its sandy beaches, dunes, and megalithic sites.
-
A.
Erdek
Erdek is a coastal town and popular seaside resort in Turkey’s Balıkesir Province, located on the Kapıdağ Peninsula along the Sea of Marmara.
-
B.
Erdoíza
Erdoíza is the family name of Chilean independence leader Manuel Rodríguez Erdoíza, a key figure in the struggle against Spanish colonial rule.
-
C.
Ermera
Ermera is a mountainous municipality in central Timor-Leste known for its coffee production and significant Mambae-speaking population.
-
D.
Eordaea
Eordaea was an ancient region in Upper Macedonia, known as one of the early Macedonian tribal areas in the northwest of the kingdom.
-
E.
Areora
Areora is a small village on the island of Mauke in the Cook Islands, known for its traditional Polynesian community and rural setting.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4f90a881908c5060dd197744d1 |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e8f0c708190ac16a391089ab747 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f61f5e20cc8190a84f50ddded76974 |
completed | May 2, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6203ef5008190af9103460b096cff |
completed | May 2, 2026, 4:03 p.m. |
Created at: April 8, 2026, 9:53 p.m.