Triple
T30989458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabah Al-Ahmad Al-Jaber Al-Sabah |
E789624
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object |
Seif Palace, Kuwait City
Seif Palace in Kuwait City is a historic royal complex that serves as one of the principal official residences and ceremonial sites of Kuwait’s ruling family.
|
E1942564
|
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: Seif Palace, Kuwait City | Statement: [Sabah Al-Ahmad Al-Jaber Al-Sabah, residence, Seif Palace, Kuwait City]
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: Seif Palace, Kuwait City Triple: [Sabah Al-Ahmad Al-Jaber Al-Sabah, residence, Seif Palace, Kuwait City]
Generated description
Seif Palace in Kuwait City is a historic royal complex that serves as one of the principal official residences and ceremonial sites of Kuwait’s ruling family.
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_69f224c550b081909ddfceb0c3d03bdd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69401dbb88190b358107d318c0035 |
completed | May 3, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a29183016f88190abd0c26cd2521bc1 |
completed | June 10, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_6a291957673c8190a5301f1f5ebffaf9 |
completed | June 10, 2026, 7:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a291a673f788190b195532bf7badce5 |
completed | June 10, 2026, 8:03 a.m. |
Created at: April 29, 2026, 8:56 p.m.