Triple
T19352848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gorj County |
E484064
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Tismana
Tismana is a town in southwestern Romania known for its historic Tismana Monastery and scenic location in the foothills of the Southern Carpathians.
|
E1372022
|
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: Tismana | Statement: [Gorj County, contains, Tismana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tismana Context triple: [Gorj County, contains, Tismana]
-
A.
Tarchuna
Tarchuna is the ancient Etruscan city known in Latin as Tarquinii and in modern times as Tarquinia, a major cultural and political center of Etruria in central Italy.
-
B.
Tigheci
Tigheci is a village located in the Leova District of Moldova.
-
C.
Tayshet
Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
-
D.
Tribeni
Tribeni is a town in West Bengal, India, historically known as a sacred confluence point of rivers and an important riverside settlement.
-
E.
Tsinitsa
Tsinitsa is an alternative name for Tsintzina, a traditional mountain village in the Peloponnese region of Greece.
- 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: Tismana Triple: [Gorj County, contains, Tismana]
Generated description
Tismana is a town in southwestern Romania known for its historic Tismana Monastery and scenic location in the foothills of the Southern Carpathians.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tismana Target entity description: Tismana is a town in southwestern Romania known for its historic Tismana Monastery and scenic location in the foothills of the Southern Carpathians.
-
A.
Tarchuna
Tarchuna is the ancient Etruscan city known in Latin as Tarquinii and in modern times as Tarquinia, a major cultural and political center of Etruria in central Italy.
-
B.
Tigheci
Tigheci is a village located in the Leova District of Moldova.
-
C.
Tayshet
Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
-
D.
Tribeni
Tribeni is a town in West Bengal, India, historically known as a sacred confluence point of rivers and an important riverside settlement.
-
E.
Tsinitsa
Tsinitsa is an alternative name for Tsintzina, a traditional mountain village in the Peloponnese region of Greece.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61905b16881909ab0e932bb9a0cda |
completed | April 20, 2026, 12:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a072409b48c819081a0e5510e91d636 |
completed | May 15, 2026, 1:47 p.m. |
| NEDg | Description generation | batch_6a0725e546488190988000d77c961c0f |
completed | May 15, 2026, 1:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0726a79b308190a584bc808f4b2faa |
completed | May 15, 2026, 1:59 p.m. |
Created at: April 10, 2026, 1:34 p.m.