Triple
T38590557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Limsa Lominsa |
E932442
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
The Arcanists' Guild
The Arcanists' Guild is a magical scholarly organization in Limsa Lominsa where practitioners study and wield arcane arts, particularly through the use of grimoires and tactical spellcasting.
|
E2276410
|
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: The Arcanists' Guild | Statement: [Limsa Lominsa, hasLandmark, The Arcanists' Guild]
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: The Arcanists' Guild Triple: [Limsa Lominsa, hasLandmark, The Arcanists' Guild]
Generated description
The Arcanists' Guild is a magical scholarly organization in Limsa Lominsa where practitioners study and wield arcane arts, particularly through the use of grimoires and tactical spellcasting.
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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcd93bc87481908ae2a1b246ac25ea |
completed | May 7, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41ea9e9b248190b08f0134a75af0b1 |
completed | June 29, 2026, 3:46 a.m. |
| NEDg | Description generation | batch_6a41ebadab708190a6277724580df2b0 |
completed | June 29, 2026, 3:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41ec1cf73081909142dcb16dff2794 |
completed | June 29, 2026, 3:53 a.m. |
Created at: May 3, 2026, 4:32 p.m.