Triple
T9615155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugar Land Space Cowboys |
E232199
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Sugar Land |
E312217
|
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: Sugar Land | Statement: [Sugar Land Space Cowboys, city, Sugar Land]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sugar Land Context triple: [Sugar Land Space Cowboys, city, Sugar Land]
-
A.
Sugar Land
chosen
Sugar Land is a rapidly growing suburban city in the Houston metropolitan area, known for its master-planned communities, high quality of life, and strong local economy.
-
B.
Love Land
Love Land is an outdoor sculpture park on South Korea’s Jeju Island known for its erotic art and playful, adult-themed exhibits.
-
C.
Lone Stars
The Lone Stars is the nickname of the Liberia national football team, which represents Liberia in international soccer competitions.
-
D.
Sweetheart City
Sweetheart City is a romantic nickname for Loveland, Colorado, known for its Valentine’s Day traditions and heart-themed celebrations.
-
E.
Sugar Town
"Sugar Town" is a 1966 pop song by Nancy Sinatra, known for its light, whimsical style and catchy, laid-back melody.
- 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_69ca84867bb88190b4b57dd5a56d5691 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9aabb6b88190b53547db885e0129 |
completed | April 1, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1795e7be08190a088e49a79251570 |
completed | April 4, 2026, 8:49 p.m. |
Created at: March 30, 2026, 8:09 p.m.