Triple
T7385046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sany Heavy Industry |
E170358
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object |
Putzmeister
Putzmeister is a German manufacturer renowned for its concrete pumps and other high-performance construction machinery used on major infrastructure projects worldwide.
|
E660781
|
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: Putzmeister | Statement: [Sany Heavy Industry, hasSubsidiary, Putzmeister]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Putzmeister Context triple: [Sany Heavy Industry, hasSubsidiary, Putzmeister]
-
A.
Bühler
Bühler is a German-language surname borne by various notable individuals across fields such as politics, sports, and academia.
-
B.
Schmitz
Schmitz is one of the two manipulative arsonists who infiltrate the bourgeois household in Max Frisch’s play "Biedermann und die Brandstifter."
-
C.
Suter
Suter is a surname of Germanic origin, often associated with individuals of Swiss or German heritage.
-
D.
Mennekes
Mennekes is a German electrical engineering company best known in e-mobility for developing the widely adopted Type 2 AC charging connector for electric vehicles.
-
E.
Hamm-Brücher
Hamm-Brücher is the hyphenated surname associated with German politician and liberal education advocate Hildegard Hamm-Brücher.
- 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: Putzmeister Triple: [Sany Heavy Industry, hasSubsidiary, Putzmeister]
Generated description
Putzmeister is a German manufacturer renowned for its concrete pumps and other high-performance construction machinery used on major infrastructure projects worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Putzmeister Target entity description: Putzmeister is a German manufacturer renowned for its concrete pumps and other high-performance construction machinery used on major infrastructure projects worldwide.
-
A.
Bühler
Bühler is a German-language surname borne by various notable individuals across fields such as politics, sports, and academia.
-
B.
Schmitz
Schmitz is one of the two manipulative arsonists who infiltrate the bourgeois household in Max Frisch’s play "Biedermann und die Brandstifter."
-
C.
Suter
Suter is a surname of Germanic origin, often associated with individuals of Swiss or German heritage.
-
D.
Mennekes
Mennekes is a German electrical engineering company best known in e-mobility for developing the widely adopted Type 2 AC charging connector for electric vehicles.
-
E.
Hamm-Brücher
Hamm-Brücher is the hyphenated surname associated with German politician and liberal education advocate Hildegard Hamm-Brücher.
- 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_69c68a5d0ed08190b6d361e68f813330 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1efe1308190b96eefbff56140be |
completed | March 27, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802e23714819094a1b31c82a27fee |
completed | March 28, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_69c8038127408190947cb7002ccc0dec |
completed | March 28, 2026, 4:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8040a40088190b37192429678fd3e |
completed | March 28, 2026, 4:38 p.m. |
Created at: March 27, 2026, 3:08 p.m.