Triple
T38564590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khazad-dûm |
E928179
|
entity |
| Predicate | eraOfFounding |
P48685
|
FINISHED |
| Object | First Age or earlier |
—
|
LITERAL 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: First Age or earlier | Statement: [Khazad-dûm, eraOfFounding, First Age or earlier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraOfFounding Context triple: [Khazad-dûm, eraOfFounding, First Age or earlier]
-
A.
eraOfEstablishment
chosen
Indicates the time period or historical era during which an entity was founded or established.
-
B.
isFoundedOn
Indicates that one entity is established, created, or based upon another entity as its foundational source or principle.
-
C.
foundingAround
Indicates that an entity was founded at approximately, but not exactly, the specified time or within a loosely defined surrounding period.
-
D.
foundedOn
Indicates that an entity was established, created, or brought into existence on a specific date or point in time.
-
E.
yearFactionFounded
Indicates the specific year in which a faction was established or founded.
- F. None of above.
Provenance (3 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_69f76eb8d1808190a588af29d8b266d6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.