Triple
T23404983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilfov County |
E559609
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Copăceni
Copăceni is a village in southern Romania located within Ilfov County, near the capital city of Bucharest.
|
E1584211
|
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: Copăceni | Statement: [Ilfov County, hasTown, Copăceni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Copăceni Context triple: [Ilfov County, hasTown, Copăceni]
-
A.
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.
-
B.
Comănești
Comănești is a town in Bacău County, Romania, known for its location in the Trotuș Valley and its historical role in the region’s timber and coal industries.
-
C.
Târnăveni
Târnăveni is a town in central Romania, historically known for its chemical industry and location in the Transylvania region.
-
D.
Crângași
Crângași is a residential neighborhood in western Bucharest, Romania, known for its large park and lakeside recreational areas along Lacul Morii.
-
E.
Căciulata
Căciulata is a Romanian spa resort town known for its thermal springs and scenic location near the Cozia Mountains.
- 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: Copăceni Triple: [Ilfov County, hasTown, Copăceni]
Generated description
Copăceni is a village in southern Romania located within Ilfov County, near the capital city of Bucharest.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Copăceni Target entity description: Copăceni is a village in southern Romania located within Ilfov County, near the capital city of Bucharest.
-
A.
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.
-
B.
Comănești
Comănești is a town in Bacău County, Romania, known for its location in the Trotuș Valley and its historical role in the region’s timber and coal industries.
-
C.
Târnăveni
Târnăveni is a town in central Romania, historically known for its chemical industry and location in the Transylvania region.
-
D.
Crângași
Crângași is a residential neighborhood in western Bucharest, Romania, known for its large park and lakeside recreational areas along Lacul Morii.
-
E.
Căciulata
Căciulata is a Romanian spa resort town known for its thermal springs and scenic location near the Cozia Mountains.
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4e27db88190b37375b38073291c |
completed | April 29, 2026, 6:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5df67cac8190868ab0068248be07 |
completed | May 19, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0c5ff391208190a1e5e5d3604de8fb |
completed | May 19, 2026, 1:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c609b4e108190a8abe634d326f62d |
completed | May 19, 2026, 1:07 p.m. |
Created at: April 17, 2026, 5:38 p.m.