Triple
T31586311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maxwell Food Centre |
E805964
|
entity |
| Predicate | hasStall |
P59386
|
FINISHED |
| Object | Tian Tian Hainanese Chicken Rice |
—
|
NE NERFINISHED |
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: Tian Tian Hainanese Chicken Rice | Statement: [Maxwell Food Centre, hasStall, Tian Tian Hainanese Chicken Rice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStall Context triple: [Maxwell Food Centre, hasStall, Tian Tian Hainanese Chicken Rice]
-
A.
hasStalls
chosen
Indicates that an entity contains, provides, or is equipped with stalls (e.g., booths, compartments, or vendor stands).
-
B.
stallMarkedBy
Indicates that a stall or booth is identified or distinguished by a particular mark, label, or sign.
-
C.
hasTypeOfStalls
Indicates that an entity features or includes stalls of a particular type or category.
-
D.
hasOrchestraStalls
Indicates that a venue or performance space includes an orchestra stalls section, typically the main ground-level seating area closest to the stage.
-
E.
hasStop
Indicates that something (such as a route, service, or journey) includes or is associated with a particular stop or stopping point.
- 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_69f348d4891c8190b02bae3c8ecb68b7 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fec5c503808190bde0b1829ea43071 |
completed | May 9, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69fec535dd6c8190a6ab85201f5a04a9 |
completed | May 9, 2026, 5:25 a.m. |
Created at: April 30, 2026, 10:26 p.m.