Triple
T38604856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Five (Zombies map) |
E934313
|
entity |
| Predicate | hasPackAPunchMachine |
P202576
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Five (Zombies map), hasPackAPunchMachine, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPackAPunchMachine Context triple: [Five (Zombies map), hasPackAPunchMachine, true]
-
A.
hasPerkMachine
Indicates that an entity is equipped with or provides access to a perk-dispensing machine.
-
B.
hasOpalTopUpMachine
Indicates that a location or facility is equipped with an Opal card top-up machine for adding credit or purchasing travel value.
-
C.
hasCashWraps
Indicates that an entity is equipped with one or more cash wrap areas or checkout counters for handling customer transactions.
-
D.
hasSlotMachines
Indicates that an entity contains, offers, or is equipped with one or more slot machines.
-
E.
hasPumpingStation
Indicates that one entity possesses, contains, or is served by a pumping station associated with it.
- F. None of above. chosen
Provenance (4 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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a009273634c8190b5b9c87053b56760 |
completed | May 10, 2026, 2:13 p.m. |
| PD | Predicate disambiguation | batch_6a0092171230819096e4274dd97e0410 |
completed | May 10, 2026, 2:11 p.m. |
| PDg | Predicate description generation | batch_6a009272afc88190a041b7e16d851599 |
completed | May 10, 2026, 2:13 p.m. |
Created at: May 3, 2026, 4:32 p.m.