Triple
T4511277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Triangle |
E102058
|
entity |
| Predicate | containsCity |
P294
|
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: [Texas Triangle, containsCity, Sugar Land]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sugar Land Context triple: [Texas Triangle, containsCity, 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.
Lone Stars
The Lone Stars is the nickname of the Liberia national football team, which represents Liberia in international soccer competitions.
-
C.
Sweetheart City
Sweetheart City is a romantic nickname for Loveland, Colorado, known for its Valentine’s Day traditions and heart-themed celebrations.
-
D.
Lone Star State of Mind
Lone Star State of Mind is a 1987 country-folk album by Nanci Griffith that helped establish her blend of Texas songwriting and contemporary folk music.
-
E.
Stone City
Stone City is an ancient walled city and historic fortification area that forms part of the old core of Nanjing, China.
- 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_69bd43d6251c81909deecce3e6e9d69c |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd571412788190a374abd1e05519e4 |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd7f875c4c81909e67d44b605816c2 |
completed | March 20, 2026, 5:10 p.m. |
Created at: March 20, 2026, 1:01 p.m.