Triple
T22785765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Meadows |
E563960
|
entity |
| Predicate | nearbyDevelopment |
P42156
|
FINISHED |
| Object | The Springs |
—
|
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: The Springs | Statement: [The Meadows, nearbyDevelopment, The Springs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Springs Context triple: [The Meadows, nearbyDevelopment, The Springs]
-
A.
The Springs
The Springs is a themed accommodation area within Disney's Saratoga Springs Resort & Spa at Walt Disney World, styled after historic New York mineral spring retreats.
-
B.
The Springs
chosen
The Springs is a gated residential community in Dubai known for its landscaped gardens, lakes, and family-friendly townhouses.
-
C.
Three Springs
Three Springs is a small rural town in Western Australia known for its grain farming and mining activities.
-
D.
Springs
Springs is an industrial and residential city on the East Rand in Gauteng, South Africa, historically known for gold mining and manufacturing.
-
E.
City of Springs
City of Springs is the nickname of Iriga City in the Philippines, known for its numerous natural springs and scenic landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2455500788190b4b33030461f3bbd |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17c321f848190a4443aa6bb4e57d7 |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 3:29 p.m.