Triple
T9007025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Braunfels |
E215168
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object | Landa Park |
E866697
|
NE 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: Landa Park | Statement: [New Braunfels, hasPark, Landa Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Landa Park Context triple: [New Braunfels, hasPark, Landa Park]
-
A.
Landa Park
chosen
Landa Park is a popular riverside recreational park in New Braunfels, Texas, known for its spring-fed pool, walking trails, and family-friendly outdoor activities.
-
B.
Bayland Park
Bayland Park is a public recreational park in southwest Houston featuring sports fields, open green spaces, and community facilities.
-
C.
Milander Park
Milander Park is a public sports and recreation complex in Hialeah, Florida, known for hosting local athletic events and community activities.
-
D.
Kalorama Park
Kalorama Park is a neighborhood green space in Washington, D.C., known for its playgrounds, recreation areas, and role as a community gathering spot in the Kalorama area.
-
E.
Wildwood Park
Wildwood Park is a recreational lakeside park in Columbia County, Georgia, known for boating, fishing, camping, and hosting outdoor events.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69bdc5fc819081015f4adacf9fd4 |
completed | April 1, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb6bb34548190aac9d2af05477750 |
completed | April 12, 2026, 3:14 p.m. |
Created at: March 30, 2026, 7:05 p.m.