Triple
T35746034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Highland Park, Texas |
E1033182
|
entity |
| Predicate | averageHomePriceCharacteristic |
P9356
|
FINISHED |
| Object | among highest in Dallas–Fort Worth region |
—
|
LITERAL 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: among highest in Dallas–Fort Worth region | Statement: [Highland Park, Texas, averageHomePriceCharacteristic, among highest in Dallas–Fort Worth region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageHomePriceCharacteristic Context triple: [Highland Park, Texas, averageHomePriceCharacteristic, among highest in Dallas–Fort Worth region]
-
A.
estateCharacteristic
Indicates that an estate possesses a particular attribute, quality, or defining feature.
-
B.
realEstateMarketCharacteristic
Indicates a characteristic, condition, or defining feature of a real estate market.
-
C.
neighborhoodCharacteristic
chosen
Indicates that a particular characteristic, feature, or quality is associated with or describes a given neighborhood.
-
D.
hasHouseCharacteristic
Indicates that a house possesses or exhibits a specific characteristic, feature, or attribute.
-
E.
medianHomeValues
Indicates the typical (middle) home price or value within a given area or group of properties.
- F. None of above.
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_69f76e119d508190a3873cb302063832 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:06 p.m.