Triple

T37218375
Position Surface form Disambiguated ID Type / Status
Subject City of Pančevo E922802 entity
Predicate notableFacility P105 FINISHED
Object HIP Petrohemija complex
The HIP Petrohemija complex is a major Serbian petrochemical industrial facility located in Pančevo, known for producing a wide range of polymer and chemical products.
 E2217990 NE FINISHED

How this triple was built (2 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: HIP Petrohemija complex | Statement: [City of Pančevo, notableFacility, HIP Petrohemija complex]
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: HIP Petrohemija complex
Triple: [City of Pančevo, notableFacility, HIP Petrohemija complex]
Generated description
The HIP Petrohemija complex is a major Serbian petrochemical industrial facility located in Pančevo, known for producing a wide range of polymer and chemical products.

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_69f76ea6f5288190b8d9988f613811c0 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb369a87d881909d2ae31c947b11d1 completed May 6, 2026, 12:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40362908ec819095a1568f312658b7 completed June 27, 2026, 8:44 p.m.
NEDg Description generation batch_6a4036cfd8dc8190ad624df103d52eb7 completed June 27, 2026, 8:47 p.m.
NED2 Entity disambiguation (via description) batch_6a40392916908190867f36144e479af5 completed June 27, 2026, 8:57 p.m.
Created at: May 3, 2026, 4:15 p.m.