Triple
T7078688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Retezat National Park |
E164887
|
entity |
| Predicate | hasAccessPoint |
P1985
|
FINISHED |
| Object |
Cârnic
Cârnic is a mountain access point and trailhead settlement commonly used as a gateway into Romania’s Retezat National Park.
|
E640957
|
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: Cârnic | Statement: [Retezat National Park, hasAccessPoint, Cârnic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cârnic Context triple: [Retezat National Park, hasAccessPoint, Cârnic]
-
A.
Carnes
Carnes is a surname of English origin borne by various individuals and fictional characters, including Ado Annie Carnes from the musical "Oklahoma!".
-
B.
Carnicer
Carnicer is a Spanish surname most notably associated with composer Ramón Carnicer, known for his contributions to 19th-century classical music.
-
C.
Kockasti
Kockasti is the popular nickname of the Croatia men's national basketball team, referencing the iconic red-and-white checkered pattern associated with Croatian sports.
-
D.
Butcher
Butcher is a common English occupational surname historically given to people who worked as meat cutters or slaughterers.
-
E.
Salo
Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
- 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: Cârnic Triple: [Retezat National Park, hasAccessPoint, Cârnic]
Generated description
Cârnic is a mountain access point and trailhead settlement commonly used as a gateway into Romania’s Retezat National Park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cârnic Target entity description: Cârnic is a mountain access point and trailhead settlement commonly used as a gateway into Romania’s Retezat National Park.
-
A.
Carnes
Carnes is a surname of English origin borne by various individuals and fictional characters, including Ado Annie Carnes from the musical "Oklahoma!".
-
B.
Carnicer
Carnicer is a Spanish surname most notably associated with composer Ramón Carnicer, known for his contributions to 19th-century classical music.
-
C.
Kockasti
Kockasti is the popular nickname of the Croatia men's national basketball team, referencing the iconic red-and-white checkered pattern associated with Croatian sports.
-
D.
Butcher
Butcher is a common English occupational surname historically given to people who worked as meat cutters or slaughterers.
-
E.
Salo
Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
- 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_69c6887cbc6c8190bdfac42d940f4d8a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4ef47d48190b31125d1b57f7bec |
completed | March 27, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7946dbf048190a6307fefeb1dd6a9 |
completed | March 28, 2026, 8:42 a.m. |
| NEDg | Description generation | batch_69c7955aefdc8190ab38d93097502ec1 |
completed | March 28, 2026, 8:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c795beba2c8190983f871c42f9b72e |
completed | March 28, 2026, 8:47 a.m. |
Created at: March 27, 2026, 2:40 p.m.