Triple
T24134718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Limburg-Styrum-Runkel branch |
E598050
|
entity |
| Predicate | houseNameElement |
P138201
|
FINISHED |
| Object |
Limburg-Styrum
Limburg-Styrum was a historic German noble family that held various territories and titles within the Holy Roman Empire.
|
E595258
|
NE FINISHED |
How this triple was built (3 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: Limburg-Styrum | Statement: [Limburg-Styrum-Runkel branch, houseNameElement, Limburg-Styrum]
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: Limburg-Styrum Triple: [Limburg-Styrum-Runkel branch, houseNameElement, Limburg-Styrum]
Generated description
Limburg-Styrum was a historic German noble family that held various territories and titles within the Holy Roman Empire.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: houseNameElement Context triple: [Limburg-Styrum-Runkel branch, houseNameElement, Limburg-Styrum]
-
A.
houseName
Indicates the specific name or designation assigned to a house.
-
B.
houseElement
chosen
Indicates that one entity is a structural or functional component of a house associated with another entity.
-
C.
houseNickname
Indicates that an entity has an informal or alternative name used as a nickname for a house or dwelling.
-
D.
houseHead
Indicates that one entity serves as the head, leader, or primary authority of a particular house or household associated with the other entity.
-
E.
homeFieldName
Indicates the name of the field or venue that serves as an entity’s home location for its activities or events.
- F. None of above.
Provenance (6 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_69e288c92e448190ac57034fa0c863ce |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1df7b6e9c819097fb546efa35821b |
completed | April 29, 2026, 10:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0fad21728c819083d8bb5c8b060617 |
completed | May 22, 2026, 1:10 a.m. |
| NEDg | Description generation | batch_6a0fae49d6a08190b20305c2e8199b80 |
completed | May 22, 2026, 1:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0faf52f7508190ba5ca0d7123f6619 |
completed | May 22, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69f1765650fc8190a6bc1eb512b240bf |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:26 p.m.