Triple
T25231036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanakakkunnu Palace |
E632218
|
entity |
| Predicate | cityParkContext |
P89271
|
FINISHED |
| Object | part of the museum and zoo complex area in Thiruvananthapuram |
—
|
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: part of the museum and zoo complex area in Thiruvananthapuram | Statement: [Kanakakkunnu Palace, cityParkContext, part of the museum and zoo complex area in Thiruvananthapuram]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityParkContext Context triple: [Kanakakkunnu Palace, cityParkContext, part of the museum and zoo complex area in Thiruvananthapuram]
-
A.
cityParkOf
Indicates that one entity is a city park that is located within or belongs to a particular city.
-
B.
cityParkStatus
Indicates the current operational or accessibility status of a city park in relation to its governing jurisdiction or management.
-
C.
countyParkOrArea
Indicates that a location is designated as a county-level park or recreational area under the jurisdiction of a county authority.
-
D.
inPark
chosen
Indicates that one entity is located within or inside the boundaries of a park.
-
E.
currentParkName
Indicates the name of the park where the entity is currently located or associated.
- 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_69e75a8ec5f88190b9eba06ae42b413a |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f47cc8b158819095e054bcde25648f |
completed | May 1, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 1:06 p.m.