Triple
T6090061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verbena, Alabama |
E135738
|
entity |
| Predicate | hadSummerHomesFor |
P1713
|
FINISHED |
| Object | Montgomery residents |
—
|
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: Montgomery residents | Statement: [Verbena, Alabama, hadSummerHomesFor, Montgomery residents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadSummerHomesFor Context triple: [Verbena, Alabama, hadSummerHomesFor, Montgomery residents]
-
A.
summerHomeOf
chosen
Indicates that a location serves as a seasonal or vacation residence for a person or group, specifically used during the summer.
-
B.
hasCottagesForRent
Indicates that an entity offers cottages available for rental.
-
C.
hasHouses
Indicates that one entity possesses, controls, or contains one or more houses in relation to another entity or context.
-
D.
hasHouse
Indicates that one entity possesses, owns, or is provided with a house in relation to another entity.
-
E.
hasGuestHouse
Indicates that one entity owns, includes, or is associated with a guest house in relation to another entity.
- 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057a862c88190912a913973c6b6fc |
completed | March 22, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69c049f3b1ec8190bea67a7bec6442a5 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:12 p.m.