Triple
T25231492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lotus Mahal |
E632228
|
entity |
| Predicate | cityRuinsOf |
P158048
|
FINISHED |
| Object | Hampi |
—
|
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: Hampi | Statement: [Lotus Mahal, cityRuinsOf, Hampi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityRuinsOf Context triple: [Lotus Mahal, cityRuinsOf, Hampi]
-
A.
destroyedCity
Indicates that an entity has caused the complete or near-complete destruction of a city.
-
B.
ancientCity
Indicates that the subject is a historically old or long-established city, typically originating from ancient times.
-
C.
citySacked
Indicates that a city has been violently attacked, looted, and destroyed or heavily damaged, typically as a result of military conquest.
-
D.
deathCity
Indicates the city in which an entity (typically a person) died.
-
E.
cityRebuiltAfter
Indicates that a city was reconstructed or significantly restored following a prior event of destruction or severe damage.
- 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_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_69f44d849e7c81909945438f40e35362 |
completed | May 1, 2026, 6:51 a.m. |
| PDg | Predicate description generation | batch_69f45300bd488190bb1d4160f5534ef6 |
completed | May 1, 2026, 7:15 a.m. |
Created at: April 21, 2026, 1:06 p.m.