Triple
T16750014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surčin municipality |
E407047
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Progar
Progar is a suburban village of Belgrade, Serbia, located within the Surčin municipality near the Sava River and surrounded by forests and wetlands.
|
E1232593
|
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: Progar | Statement: [Surčin municipality, contains, Progar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Progar Context triple: [Surčin municipality, contains, Progar]
-
A.
Zenta
Zenta is a historic town in northern Serbia, best known as the site of a decisive 1697 battle between the Habsburg Monarchy and the Ottoman Empire.
-
B.
Prahasta
Prahasta is a powerful rakshasa commander in the Hindu epic Ramayana, serving as one of Ravana’s chief generals in the war against Rama.
-
C.
Pogue
Pogue is the surname of American technology writer, TV presenter, and author David Pogue.
-
D.
Pandro
Pandro is the given name of Pandro S. Berman, a prominent American film producer known for his work during Hollywood’s classic studio era.
-
E.
Paterva
Paterva is a South African software company best known for creating Maltego, a powerful open-source intelligence and link analysis tool used in cybersecurity and digital investigations.
- 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: Progar Triple: [Surčin municipality, contains, Progar]
Generated description
Progar is a suburban village of Belgrade, Serbia, located within the Surčin municipality near the Sava River and surrounded by forests and wetlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Progar Target entity description: Progar is a suburban village of Belgrade, Serbia, located within the Surčin municipality near the Sava River and surrounded by forests and wetlands.
-
A.
Zenta
Zenta is a historic town in northern Serbia, best known as the site of a decisive 1697 battle between the Habsburg Monarchy and the Ottoman Empire.
-
B.
Prahasta
Prahasta is a powerful rakshasa commander in the Hindu epic Ramayana, serving as one of Ravana’s chief generals in the war against Rama.
-
C.
Pogue
Pogue is the surname of American technology writer, TV presenter, and author David Pogue.
-
D.
Pandro
Pandro is the given name of Pandro S. Berman, a prominent American film producer known for his work during Hollywood’s classic studio era.
-
E.
Paterva
Paterva is a South African software company best known for creating Maltego, a powerful open-source intelligence and link analysis tool used in cybersecurity and digital investigations.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa265a908190a87fa4612bfe6396 |
completed | April 18, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a522255c8190ab16d7ad233fcd3b |
completed | May 10, 2026, 3:32 p.m. |
| NEDg | Description generation | batch_6a00a6b2d7b08190841de0e849eac604 |
completed | May 10, 2026, 3:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00a761530481909b27b6844d2324f0 |
completed | May 10, 2026, 3:42 p.m. |
Created at: April 10, 2026, 5:21 a.m.