Triple
T6693582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dallas urban area |
E152689
|
entity |
| Predicate | hasSuburb |
P747
|
FINISHED |
| Object | Mesquite |
E9808
|
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: Mesquite | Statement: [Dallas urban area, hasSuburb, Mesquite]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mesquite Context triple: [Dallas urban area, hasSuburb, Mesquite]
-
A.
Mesquite
chosen
Mesquite is a suburban city in the eastern part of the Dallas–Fort Worth metropolitan area known for its residential communities and regional retail centers.
-
B.
Palo verde
Palo verde is a small desert tree native to the American Southwest, recognized for its green bark and bright yellow spring blossoms.
-
C.
Tawny Cypress
Tawny Cypress is an American actress known for her roles in television series such as Yellowjackets, Heroes, and House of Cards.
-
D.
Ceboruco
Ceboruco is an active stratovolcano in western Mexico known for its historical eruptions and location within the country’s main volcanic arc.
-
E.
Yucca
Yucca is a hardy, evergreen desert plant known for its sword-like leaves and tall clusters of white flowers, commonly found in arid regions of the Americas.
- 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_69c6880687b08190805278b504d1c92c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6b1955e448190adbfed7dc28f8c52 |
completed | March 27, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7b97210819086e88624c476fa24 |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:05 p.m.