Triple
T9208093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malabon |
E221038
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | NCR |
E188578
|
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: NCR | Statement: [Malabon, region, NCR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NCR Context triple: [Malabon, region, NCR]
-
A.
NCR
NCR is an Indian Railways zone headquartered in Prayagraj that manages key rail routes across parts of Uttar Pradesh, Madhya Pradesh, Rajasthan, and Haryana.
-
B.
NCR
chosen
NCR is the commonly used acronym for the National Capital Region of the Philippines, encompassing Metro Manila and serving as the country’s political, economic, and cultural center.
-
C.
NCR Corporation
NCR Corporation is a global technology company best known for its point-of-sale systems, ATMs, and other financial and retail transaction solutions.
-
D.
Diebold
Diebold is a Germanic given name and surname, historically used as a variant of Theobald.
-
E.
NCP
NCP (Network Control Protocol) was an early host-to-host communication protocol suite that enabled data exchange between computers on the ARPANET before the adoption of TCP/IP.
- 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_69ca83e9d0e081908bdb71097201a06c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd9b217008190a0ab4971dd4a8899 |
completed | April 1, 2026, 8:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d065e49fcc81909ddb838a8ad28c57 |
completed | April 4, 2026, 1:14 a.m. |
Created at: March 30, 2026, 7:26 p.m.