Triple
T30494880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pham Ngu Lao area |
E775976
|
entity |
| Predicate | typicalAccommodationPriceRange |
P129461
|
FINISHED |
| Object | budget |
—
|
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: budget | Statement: [Pham Ngu Lao area, typicalAccommodationPriceRange, budget]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAccommodationPriceRange Context triple: [Pham Ngu Lao area, typicalAccommodationPriceRange, budget]
-
A.
sleepingAccommodation
Indicates that one entity serves as a place or facility where another entity can sleep or stay overnight.
-
B.
roomTypeRange
Indicates that there is a specified allowable range or set of room types applicable to an entity or context.
-
C.
typicalRate
chosen
Indicates the standard or commonly expected rate at which something occurs, is charged, or is applied in a given context.
-
D.
economyRate
Indicates the rate or level of economic performance, activity, or growth associated with the related entities.
-
E.
typicalRange
Indicates the usual or expected range of values, conditions, or states within which something normally occurs or applies.
- 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_69f22498c5d481908aaea89e6fab8280 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e2fac0819089b522db3260028c |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 8:14 p.m.