Triple
T34558626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olèrdola |
E887276
|
entity |
| Predicate | hasHilltopFortress |
P11932
|
FINISHED |
| Object |
Olèrdola fortress
Olèrdola fortress is an ancient hilltop stronghold in Catalonia, Spain, notable for its strategic location and archaeological remains spanning Iberian, Roman, and medieval periods.
|
E2101592
|
NE FINISHED |
How this triple was built (3 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: Olèrdola fortress | Statement: [Olèrdola, hasHilltopFortress, Olèrdola fortress]
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: Olèrdola fortress Triple: [Olèrdola, hasHilltopFortress, Olèrdola fortress]
Generated description
Olèrdola fortress is an ancient hilltop stronghold in Catalonia, Spain, notable for its strategic location and archaeological remains spanning Iberian, Roman, and medieval periods.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHilltopFortress Context triple: [Olèrdola, hasHilltopFortress, Olèrdola fortress]
-
A.
isHilltopSettlement
Indicates that a settlement is located on or at the top of a hill.
-
B.
containsFortress
chosen
Indicates that a location or area includes a fortress within its boundaries.
-
C.
hasHeroicFortress
Indicates that an entity possesses or is associated with a fortress characterized by heroic qualities, status, or significance.
-
D.
hasFortressConstructed
Indicates that a fortress has been built or established for, by, or at the associated entity.
-
E.
containsHill
Indicates that one entity geographically includes or encompasses a hill within its area or boundaries.
- F. None of above.
Provenance (6 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_69f349d0c4d881908dd0950f5eb9ec0a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff1d85441c8190931e758685a269f7 |
completed | May 9, 2026, 11:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a373625f6a8819096548957860efd30 |
completed | June 21, 2026, 12:53 a.m. |
| NEDg | Description generation | batch_6a3736b9716881908d7dcc37fd79a89b |
completed | June 21, 2026, 12:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a37375fecf081908a85fdb46751fc6b |
completed | June 21, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69ff1d186cc48190b315c61e23de6551 |
completed | May 9, 2026, 11:40 a.m. |
Created at: May 1, 2026, 2:02 a.m.