Triple
T18980723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cozia Mountains |
E464413
|
entity |
| Predicate | hasAccessPoint |
P1985
|
FINISHED |
| Object |
Căciulata
Căciulata is a Romanian spa resort town known for its thermal springs and scenic location near the Cozia Mountains.
|
E1351943
|
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: Căciulata | Statement: [Cozia Mountains, hasAccessPoint, Căciulata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Căciulata Context triple: [Cozia Mountains, hasAccessPoint, Căciulata]
-
A.
Cahuleni
Cahuleni is a village-level settlement located within Leova District in southwestern Moldova.
-
B.
Cismuntincu
Cismuntincu is a major regional dialect of the Corsican language traditionally spoken in the eastern and northern parts of Corsica.
-
C.
Tărlungeni
Tărlungeni is a commune in Brașov County, Romania, known for its rural character and proximity to the city of Brașov in the historical region of Transylvania.
-
D.
Târnăveni
Târnăveni is a town in central Romania, historically known for its chemical industry and location in the Transylvania region.
-
E.
Dorobanți
Dorobanți is an upscale residential and commercial neighborhood in northern Bucharest, known for its embassies, cafes, and elegant streets.
- 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: Căciulata Triple: [Cozia Mountains, hasAccessPoint, Căciulata]
Generated description
Căciulata is a Romanian spa resort town known for its thermal springs and scenic location near the Cozia Mountains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Căciulata Target entity description: Căciulata is a Romanian spa resort town known for its thermal springs and scenic location near the Cozia Mountains.
-
A.
Cahuleni
Cahuleni is a village-level settlement located within Leova District in southwestern Moldova.
-
B.
Cismuntincu
Cismuntincu is a major regional dialect of the Corsican language traditionally spoken in the eastern and northern parts of Corsica.
-
C.
Tărlungeni
Tărlungeni is a commune in Brașov County, Romania, known for its rural character and proximity to the city of Brașov in the historical region of Transylvania.
-
D.
Târnăveni
Târnăveni is a town in central Romania, historically known for its chemical industry and location in the Transylvania region.
-
E.
Dorobanți
Dorobanți is an upscale residential and commercial neighborhood in northern Bucharest, known for its embassies, cafes, and elegant streets.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d65c11808190810c79c91799dec0 |
completed | April 20, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05ad41b9188190a947489a40df02c9 |
completed | May 14, 2026, 11:08 a.m. |
| NEDg | Description generation | batch_6a05ae57ce7881909d15b7ac451b98a9 |
completed | May 14, 2026, 11:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05af24cb288190913827bf30a9a010 |
completed | May 14, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:01 p.m.