Triple
T21586122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King's High School for Girls, Warwick |
E532654
|
entity |
| Predicate | isInTownKnownFor |
P144057
|
FINISHED |
| Object | historic town of Warwick |
—
|
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: historic town of Warwick | Statement: [King's High School for Girls, Warwick, isInTownKnownFor, historic town of Warwick]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInTownKnownFor Context triple: [King's High School for Girls, Warwick, isInTownKnownFor, historic town of Warwick]
-
A.
isLocatedInDistrictKnownFor
Indicates that an entity is situated within a district that is notably recognized for a particular characteristic, feature, or reputation.
-
B.
notableInCity
Indicates that an entity is particularly prominent, recognized, or significant within a specific city.
-
C.
traditionallyKnownFor
Indicates that something is widely and historically recognized or reputed for a particular characteristic, activity, product, or role.
-
D.
alsoKnownForCity
Indicates that an entity is additionally recognized or notable for its association with a particular city.
-
E.
knownIn
Indicates that an entity is recognized, acknowledged, or familiar within a particular context, domain, or group.
- 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeeb60032881908dd35ac76392ad07 |
completed | April 27, 2026, 4:51 a.m. |
| PD | Predicate disambiguation | batch_69e632109d048190b4ac3f14fe48d1a0 |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e63384a8fc819084c596bb53a3a1db |
completed | April 20, 2026, 2:09 p.m. |
Created at: April 16, 2026, 6:31 p.m.