Triple
T2928012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Houston–The Woodlands–Sugar Land metropolitan area |
E78892
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Rosenberg, Texas
Rosenberg, Texas is a growing suburban city in Fort Bend County that forms part of the greater Houston metropolitan area.
|
E448246
|
NE FINISHED |
How this triple was built (4 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: Rosenberg, Texas | Statement: [Houston–The Woodlands–Sugar Land metropolitan area, containsCity, Rosenberg, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosenberg, Texas Context triple: [Houston–The Woodlands–Sugar Land metropolitan area, containsCity, Rosenberg, Texas]
-
A.
Rosser, Texas
Rosser, Texas is a small rural village located in Kaufman County within the Dallas–Fort Worth metropolitan area.
-
B.
Rosston, Texas
Rosston, Texas is a small unincorporated rural community located in Cooke County in north-central Texas.
-
C.
Rockett, Texas
Rockett, Texas is a small unincorporated rural community located in Ellis County in the north-central region of the state.
-
D.
Riesel, Texas
Riesel, Texas is a small rural city in Central Texas located southeast of Waco.
-
E.
Royse City, Texas
Royse City, Texas is a small but rapidly growing suburban community in the Dallas–Fort Worth metropolitan area known for its historic downtown and family-oriented atmosphere.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rosenberg, Texas Triple: [Houston–The Woodlands–Sugar Land metropolitan area, containsCity, Rosenberg, Texas]
Generated description
Rosenberg, Texas is a growing suburban city in Fort Bend County that forms part of the greater Houston metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rosenberg, Texas Target entity description: Rosenberg, Texas is a growing suburban city in Fort Bend County that forms part of the greater Houston metropolitan area.
-
A.
Rosser, Texas
Rosser, Texas is a small rural village located in Kaufman County within the Dallas–Fort Worth metropolitan area.
-
B.
Rosston, Texas
Rosston, Texas is a small unincorporated rural community located in Cooke County in north-central Texas.
-
C.
Rockett, Texas
Rockett, Texas is a small unincorporated rural community located in Ellis County in the north-central region of the state.
-
D.
Riesel, Texas
Riesel, Texas is a small rural city in Central Texas located southeast of Waco.
-
E.
Royse City, Texas
Royse City, Texas is a small but rapidly growing suburban community in the Dallas–Fort Worth metropolitan area known for its historic downtown and family-oriented atmosphere.
- F. None of above. chosen
Provenance (5 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_69ad8b0d40b481908bc2a5fa2e73c3fb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad97ff0ddc8190acba9863bbe4f54b |
completed | March 8, 2026, 3:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd7f501e588190b666141f7e5ed6ae |
completed | March 20, 2026, 5:09 p.m. |
| NEDg | Description generation | batch_69bd84bae7148190ae201ea5257dd43e |
completed | March 20, 2026, 5:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd857181e4819086b7d0b493fbb9a3 |
completed | March 20, 2026, 5:35 p.m. |
Created at: March 8, 2026, 2:55 p.m.