Triple
T13467168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosh Pinna |
E311533
|
entity |
| Predicate | foundedAsModernSettlement |
P110486
|
FINISHED |
| Object | 1882 |
—
|
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: 1882 | Statement: [Rosh Pinna, foundedAsModernSettlement, 1882]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedAsModernSettlement Context triple: [Rosh Pinna, foundedAsModernSettlement, 1882]
-
A.
firstModernSettlementEstablished
Indicates that the subject is the location where the earliest modern-era settlement was founded or established.
-
B.
colonyFounded
Indicates that an entity established or created a colony at a particular time or place.
-
C.
isFoundedOn
Indicates that one entity is established, created, or based upon another entity as its foundational source or principle.
-
D.
foundedAsCityBy
Indicates that a city was originally established or created by a specific person, group, or authority.
-
E.
majorCityFounded
Indicates that one entity is a major city and the other is the date or event of its founding.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf101a1081909f2aba6da47baacc |
completed | April 12, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69dbadfddefc81909ef7fde23b181b5c |
completed | April 12, 2026, 2:36 p.m. |
| PDg | Predicate description generation | batch_69dbaecc98cc8190829f5be759c4f1e3 |
completed | April 12, 2026, 2:40 p.m. |
Created at: April 9, 2026, 9:42 p.m.