Triple
T14891039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hublot |
E359752
|
entity |
| Predicate | hasMaterialInnovation |
P55028
|
FINISHED |
| Object |
Texalium
Texalium is a lightweight, aluminum-based composite material known for its distinctive metallic appearance and use in high-end watchmaking and other luxury applications.
|
E1125841
|
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: Texalium | Statement: [Hublot, hasMaterialInnovation, Texalium]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Texalium Context triple: [Hublot, hasMaterialInnovation, Texalium]
-
A.
Xilleon
Xilleon is a family of system-on-chip processors developed by ATI Technologies for use in digital television and set-top box applications.
-
B.
Teramulus
Teramulus is a genus of small silverside fishes within the family Atherinidae, native to freshwater and coastal waters of Madagascar.
-
C.
Texhoma
Texhoma is a small town that straddles the Texas–Oklahoma border, historically tied to agriculture and cross-state commerce.
-
D.
Metrorex
Metrorex is the state-owned company responsible for operating and managing the Bucharest Metro system in Romania.
-
E.
Shadix
Shadix is the surname of American actor Glenn Shadix, best known for his character roles in film and television, including his performance in "Beetlejuice."
- 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: Texalium Triple: [Hublot, hasMaterialInnovation, Texalium]
Generated description
Texalium is a lightweight, aluminum-based composite material known for its distinctive metallic appearance and use in high-end watchmaking and other luxury applications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Texalium Target entity description: Texalium is a lightweight, aluminum-based composite material known for its distinctive metallic appearance and use in high-end watchmaking and other luxury applications.
-
A.
Xilleon
Xilleon is a family of system-on-chip processors developed by ATI Technologies for use in digital television and set-top box applications.
-
B.
Teramulus
Teramulus is a genus of small silverside fishes within the family Atherinidae, native to freshwater and coastal waters of Madagascar.
-
C.
Texhoma
Texhoma is a small town that straddles the Texas–Oklahoma border, historically tied to agriculture and cross-state commerce.
-
D.
Metrorex
Metrorex is the state-owned company responsible for operating and managing the Bucharest Metro system in Romania.
-
E.
Shadix
Shadix is the surname of American actor Glenn Shadix, best known for his character roles in film and television, including his performance in "Beetlejuice."
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded5f883288190af602633fa7d6860 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b61407481908a618d14c56d2abf |
completed | May 8, 2026, 11:01 p.m. |
| NEDg | Description generation | batch_69fe6e21bdf481908dba4b745ed4be65 |
completed | May 8, 2026, 11:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6ee69860819096a2448ab813dc1d |
completed | May 8, 2026, 11:16 p.m. |
Created at: April 10, 2026, 2:10 a.m.