Triple
T15837542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | al-Madina al-Fadila |
E384021
|
entity |
| Predicate | goalOfCity |
P119844
|
FINISHED |
| Object | attainment of true happiness |
—
|
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: attainment of true happiness | Statement: [al-Madina al-Fadila, goalOfCity, attainment of true happiness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalOfCity Context triple: [al-Madina al-Fadila, goalOfCity, attainment of true happiness]
-
A.
city2
Indicates a relationship where one entity is identified as a city associated with, located in, or otherwise linked to another entity.
-
B.
cityOfPlanning
Indicates the city where the planning or design activities for something (e.g., a project, event, or development) are carried out.
-
C.
primaryCityLandmarkOf
Indicates that a landmark is a principal or defining landmark associated with a specific city.
-
D.
city1
Indicates that the subject is classified as a city.
-
E.
cityFunction
Indicates the primary role, purpose, or functional classification associated with a city (e.g., administrative, commercial, industrial, cultural).
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142e3d48c8190ad0d0af89d062101 |
completed | April 16, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69e005418f588190824d91ff7974dada |
completed | April 15, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69e007647f908190adb178c68c7bb7cf |
completed | April 15, 2026, 9:47 p.m. |
Created at: April 10, 2026, 4:49 a.m.