Triple
T12328582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carnac |
E293898
|
entity |
| Predicate | nearbyCommune |
P3883
|
FINISHED |
| Object |
Crach
Crach is a small coastal commune in the Morbihan department of Brittany in northwestern France, known for its proximity to the Gulf of Morbihan and megalithic sites around Carnac.
|
E974478
|
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: Crach | Statement: [Carnac, nearbyCommune, Crach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crach Context triple: [Carnac, nearbyCommune, Crach]
-
A.
Crashmo
Crashmo is a physics-based puzzle video game for the Nintendo 3DS that challenges players to manipulate and rearrange falling blocks to solve increasingly complex spatial puzzles.
-
B.
CRUCH
CRUCH is a Chilean council that brings together the country’s main traditional universities to coordinate and guide national higher education policy.
-
C.
Crashout
Crashout is a 1955 American film noir crime drama about a group of escaped convicts on a violent quest for hidden loot.
-
D.
Crac
Crac is a Canadian animated short film by Frédéric Back that portrays the changing life of Quebec society through the story of a rocking chair.
-
E.
The Crash
The Crash is a 1928 American drama film, best known as a silent-era production featuring actor William Janney.
- 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: Crach Triple: [Carnac, nearbyCommune, Crach]
Generated description
Crach is a small coastal commune in the Morbihan department of Brittany in northwestern France, known for its proximity to the Gulf of Morbihan and megalithic sites around Carnac.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Crach Target entity description: Crach is a small coastal commune in the Morbihan department of Brittany in northwestern France, known for its proximity to the Gulf of Morbihan and megalithic sites around Carnac.
-
A.
Crashmo
Crashmo is a physics-based puzzle video game for the Nintendo 3DS that challenges players to manipulate and rearrange falling blocks to solve increasingly complex spatial puzzles.
-
B.
CRUCH
CRUCH is a Chilean council that brings together the country’s main traditional universities to coordinate and guide national higher education policy.
-
C.
Crashout
Crashout is a 1955 American film noir crime drama about a group of escaped convicts on a violent quest for hidden loot.
-
D.
Crac
Crac is a Canadian animated short film by Frédéric Back that portrays the changing life of Quebec society through the story of a rocking chair.
-
E.
The Crash
The Crash is a 1928 American drama film, best known as a silent-era production featuring actor William Janney.
- 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.