Triple
T16520411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herbis Osaka |
E401302
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Herbis ENT
Herbis ENT is a commercial complex within the Herbis Osaka development, featuring retail, dining, and entertainment facilities in Osaka, Japan.
|
E1219018
|
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: Herbis ENT | Statement: [Herbis Osaka, hasPart, Herbis ENT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herbis ENT Context triple: [Herbis Osaka, hasPart, Herbis ENT]
-
A.
Herb
Herb is a masculine given name, often a short form of Herbert, used by various notable figures including artists and entertainers.
-
B.
Opekta
Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
-
C.
Emser pastilles
Emser pastilles are medicinal lozenges made from the mineral-rich spring salts of Bad Ems, Germany, traditionally used to soothe throat and respiratory irritations.
-
D.
Herbede
Herbede is a district of the German city of Witten, located in North Rhine-Westphalia along the Ruhr River.
-
E.
Basbellain
Basbellain is a small village in northern Luxembourg that forms part of the commune of Troisvierges in the canton of Clervaux.
- 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: Herbis ENT Triple: [Herbis Osaka, hasPart, Herbis ENT]
Generated description
Herbis ENT is a commercial complex within the Herbis Osaka development, featuring retail, dining, and entertainment facilities in Osaka, Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Herbis ENT Target entity description: Herbis ENT is a commercial complex within the Herbis Osaka development, featuring retail, dining, and entertainment facilities in Osaka, Japan.
-
A.
Herb
Herb is a masculine given name, often a short form of Herbert, used by various notable figures including artists and entertainers.
-
B.
Opekta
Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
-
C.
Emser pastilles
Emser pastilles are medicinal lozenges made from the mineral-rich spring salts of Bad Ems, Germany, traditionally used to soothe throat and respiratory irritations.
-
D.
Herbede
Herbede is a district of the German city of Witten, located in North Rhine-Westphalia along the Ruhr River.
-
E.
Basbellain
Basbellain is a small village in northern Luxembourg that forms part of the commune of Troisvierges in the canton of Clervaux.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e7f8a1481909fe6b3c16a72059b |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006088fe4881909e5b691743157700 |
completed | May 10, 2026, 10:40 a.m. |
| NEDg | Description generation | batch_6a006486cf4c8190a4f1b096f70b016b |
completed | May 10, 2026, 10:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0064e3388c8190bb477fadf51469e8 |
completed | May 10, 2026, 10:58 a.m. |
Created at: April 10, 2026, 5:14 a.m.