Triple
T36555060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Outer Lands |
E901678
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Iron Hills
Iron Hills is a range of iron-rich mountains in J.R.R. Tolkien’s Middle-earth, known as the stronghold of the Dwarves under Dáin Ironfoot.
|
E901738
|
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: Iron Hills | Statement: [Outer Lands, contains, Iron Hills]
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: Iron Hills Triple: [Outer Lands, contains, Iron Hills]
Generated description
Iron Hills is a range of iron-rich mountains in J.R.R. Tolkien’s Middle-earth, known as the stronghold of the Dwarves under Dáin Ironfoot.
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_69f76e634e9481908c9ba1b87ab87c26 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c26204ec8190af607080b49dc5f8 |
completed | May 3, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3a094ddad08190ae31aced244f48ff |
completed | June 23, 2026, 4:19 a.m. |
| NEDg | Description generation | batch_6a3a0adedd848190884ffeb782d98cdc |
completed | June 23, 2026, 4:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3a0bf00df48190bc1a4333516a7009 |
completed | June 23, 2026, 4:30 a.m. |
Created at: May 3, 2026, 4:11 p.m.