Triple
T14063028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lahore Zoo |
E338392
|
entity |
| Predicate | hasNationalRank |
P110883
|
FINISHED |
| Object | one of the most visited zoos in Pakistan |
—
|
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: one of the most visited zoos in Pakistan | Statement: [Lahore Zoo, hasNationalRank, one of the most visited zoos in Pakistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNationalRank Context triple: [Lahore Zoo, hasNationalRank, one of the most visited zoos in Pakistan]
-
A.
nationalRank
Indicates the position or standing of an entity within a ranking system at the national level.
-
B.
nationalRankingScope
Indicates that the ranking being referred to is evaluated at the national (country-wide) level rather than regional or local scopes.
-
C.
rankInCountry
chosen
Indicates the position or standing of an entity within a specific country according to some ranking or ordered criterion.
-
D.
nationalRankingHistorical
Indicates the historical position or level an entity held within a national ranking over time.
-
E.
nationalTopRank
Indicates that an entity holds the highest rank or leading position at the national level within a specified domain or category.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de568876308190840361dcaf10bd45 |
completed | April 14, 2026, 3 p.m. |
| PD | Predicate disambiguation | batch_69de05adef888190b023ab42ef5076b6 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:21 p.m.