Triple
T36657730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pelóri |
E905037
|
entity |
| Predicate | hasFortificationRoleFor |
P197469
|
FINISHED |
| Object | Valinor |
—
|
NE NERFINISHED |
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: Valinor | Statement: [Pelóri, hasFortificationRoleFor, Valinor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFortificationRoleFor Context triple: [Pelóri, hasFortificationRoleFor, Valinor]
-
A.
hasFortificationRole
Indicates that an entity serves a defensive or protective function within a fortification or fortified structure.
-
B.
hasFortificationTarget
Indicates that a fortification action is directed toward or applied to a specific target entity.
-
C.
hasFortificationsFrom
Indicates that an entity possesses or is protected by fortifications that originate from or were constructed by another specified source or period.
-
D.
isFortifiedWith
Indicates that one entity has been strengthened, enriched, or supplemented by the addition of another entity.
-
E.
hasFortifications
Indicates that one entity possesses or is equipped with defensive structures or fortification works associated with it.
- F. None of above. chosen
Provenance (4 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_69f76e6e3b908190970251b30f76ad71 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe920a437081908d5174e8cf7a53a6 |
completed | May 9, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69fe919a9a6c8190acb4483f386e6db7 |
completed | May 9, 2026, 1:44 a.m. |
| PDg | Predicate description generation | batch_69fe9208ed708190980fb5061b22ae49 |
completed | May 9, 2026, 1:46 a.m. |
Created at: May 3, 2026, 4:11 p.m.