Triple
T5093916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southwest Houston |
E114820
|
entity |
| Predicate | hasNeighborhood |
P40
|
FINISHED |
| Object |
Gulfton
Gulfton is a densely populated, ethnically diverse neighborhood in southwest Houston known for its large apartment complexes and vibrant immigrant communities.
|
E493739
|
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: Gulfton | Statement: [Southwest Houston, hasNeighborhood, Gulfton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gulfton Context triple: [Southwest Houston, hasNeighborhood, Gulfton]
-
A.
Keller Beach
Keller Beach is a small public beach and waterfront recreation area on the San Francisco Bay in Richmond, California.
-
B.
Lemon Grove
Lemon Grove is a small suburban city in San Diego County, California, known for its historic citrus industry and the landmark giant lemon monument.
-
C.
Lindavista
Lindavista is a metro station in Mexico City serving the Lindavista neighborhood on the city's rapid transit network.
-
D.
Presidio Heights
Presidio Heights is an affluent residential neighborhood in San Francisco known for its upscale homes, quiet streets, and proximity to the Presidio parklands.
-
E.
Lynwood
Lynwood is a suburban city in Los Angeles County, California, located in the South Los Angeles region.
- 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: Gulfton Triple: [Southwest Houston, hasNeighborhood, Gulfton]
Generated description
Gulfton is a densely populated, ethnically diverse neighborhood in southwest Houston known for its large apartment complexes and vibrant immigrant communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gulfton Target entity description: Gulfton is a densely populated, ethnically diverse neighborhood in southwest Houston known for its large apartment complexes and vibrant immigrant communities.
-
A.
Keller Beach
Keller Beach is a small public beach and waterfront recreation area on the San Francisco Bay in Richmond, California.
-
B.
Lemon Grove
Lemon Grove is a small suburban city in San Diego County, California, known for its historic citrus industry and the landmark giant lemon monument.
-
C.
Lindavista
Lindavista is a metro station in Mexico City serving the Lindavista neighborhood on the city's rapid transit network.
-
D.
Presidio Heights
Presidio Heights is an affluent residential neighborhood in San Francisco known for its upscale homes, quiet streets, and proximity to the Presidio parklands.
-
E.
Lynwood
Lynwood is a suburban city in Los Angeles County, California, located in the South Los Angeles region.
- 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_69bd443fc49c819089629c00e311310c |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75454920819086e09d6055087e40 |
completed | March 20, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba76ef188190ab31623d1a44ebb9 |
completed | March 21, 2026, 3:34 p.m. |
| NEDg | Description generation | batch_69bebb8e5f1c819082f0b59e9524d6e8 |
completed | March 21, 2026, 3:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bebc30029081909b5c937308fefcf2 |
completed | March 21, 2026, 3:41 p.m. |
Created at: March 20, 2026, 1:40 p.m.