Triple
T15989882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Redfin |
E387794
|
entity |
| Predicate | offersProduct |
P10882
|
FINISHED |
| Object | Redfin Estimate |
E387794
|
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: Redfin Estimate | Statement: [Redfin, offersProduct, Redfin Estimate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Redfin Estimate Context triple: [Redfin, offersProduct, Redfin Estimate]
-
A.
Zillow
Zillow is a major U.S.-based online real estate marketplace that provides home listings, value estimates, and related housing data to buyers, sellers, and renters.
-
B.
Redfin
chosen
Redfin is a technology-powered real estate brokerage and listings platform that enables users to buy, sell, and search for homes online.
-
C.
Opendoor
Opendoor is a U.S.-based real estate technology company that pioneered the iBuyer model, enabling homeowners to sell their homes online quickly for cash offers.
-
D.
LendingTree
LendingTree is an online lending marketplace that connects consumers with multiple lenders for mortgages, personal loans, credit cards, and other financial products.
-
E.
OpenEEmeter
OpenEEmeter is an open-source software toolkit that standardizes the measurement and verification of energy efficiency and demand flexibility impacts from building energy data.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157829ec08190aa4a683e29a0148a |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d2369081909efa2d4addf0cf2d |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:54 a.m.